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Background:
Systematic Review

Adaptogens on Depression-Related Outcomes: A Systematic Integrative Review and Rationale of Synergism with Physical Activity

1
Grupo de Investigación Ciencias Aplicadas al Ejercicio, Deporte y Salud—GICAEDS, Universidad Santo Tomás, Bogotá 205070, Colombia
2
Grupo de Investigación Cuerpo, Sujeto y Educación—CSE, Universidad Santo Tomás, Bogotá 205070, Colombia
3
Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogotá 110311, Colombia
4
Department of Education, Faculty of Education, Charles University, 11636 Prague, Czech Republic
5
Exercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Texas A&M University, College Station, TX 77843, USA
6
Research Group in Physical Activity, Sports and Health Sciences (GICAFS), Universidad de Córdoba, Montería 230002, Colombia
7
Research Group in Biochemistry and Molecular Biology, Universidad Distrital Francisco José de Caldas, Bogotá 110311, Colombia
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(7), 5298; https://doi.org/10.3390/ijerph20075298
Submission received: 5 December 2022 / Revised: 8 March 2023 / Accepted: 15 March 2023 / Published: 28 March 2023
(This article belongs to the Special Issue Advances in Major Depressive Disorder Research)

Abstract

:
Depression is considered the most important disorder affecting mental health. The aim of this systematic integrative review was: (i) to describe the effects of supplementation with adaptogens on variables related to depression in adults; and (ii) to discuss the potential combination with physical exercise to aid planning and commissioning future clinical research. An integrative review was developed complementing the Preferred Reporting Items for Systematic reviews and Meta-Analyses statement (PROSPERO registration: CRD42021249682). A total of 41 articles met the inclusion criteria. With a Price index of 46.4%, we found that: (i) Hypericum perforatum (St. John’s Wort) is the most studied and supported adaptogen (17/41 [41.46%], three systematic reviews with meta-analysis) followed by Crocus sativus L. or saffron (6/41 [14.63%], three systematic reviews with meta-analysis and two systematic reviews); (ii) it is possible that the significantly better performance of adaptogens over placebo is due to the reduction of allostatic load via the action of secondary metabolites on BDNF regulation; and, (iii) the number of studies reporting physical activity levels is limited or null for those that combine an exercise program with the consumption of adaptogens. Aware of the need for a multidisciplinary approach for depression treatment, this systematic integrative review provides an up-to-date view for supporting the use of St. John’s Wort and saffron as non-pharmacological strategies while also help commissioning future research on the efficacy of other adaptogens. It also contributes to the design of future clinical research studies that evaluate the consumption of herbal extracts plus physical exercise, mainly resistance training, as a potentially safe and powerful strategy to treat depression.

1. Introduction

Depression is considered the most important disorder affecting mental health, being associated with an increased risk of premature mortality and other diseases [1]. Depression is defined as a state where the person only holds negative perceptions of the environment and him/herself, experiencing a deterioration in their emotional state until significant impacts are felt in their daily activities at work and personal life [2]. There are several risk factors, including stress, frustration, and a low level of physical activity; in this regard, a high prevalence rate of depression (up to 48.3%) has been reported worldwide during SARS-CoV-2 confinement [3].
Depression is associated with dysfunction of different neurotransmitters, such as serotonin, noradrenaline, and dopamine [4,5,6]. At the tissue level, the existence of alterations in brain regions such as frontal lobes and the hypothalamus has been evidenced [7]. Considering these neurophysiological changes during the development of depression, it is important to evaluate the biological mechanisms of adaptation to stressors. The most adequate model at present for this is known as allostasis, considered a predictive regulation model [8]. Upon exposure to a stressor, any biological system integrates different complex mechanisms that use prior knowledge, make predictions, and acquire further new knowledge to adapt before the next eventualities. In the case of the nervous system, these mechanisms include (i) steroid hormones and peptides that regulate the physiological response; (ii) neural signals that generate cross-talk between different areas of the brain; and (iii) brain stem nuclei raphe signals that modulate levels of arousal and mood through a main neurotransmitter, serotonin [9]. It is important to emphasize that repeated exposure to a stressor leads to the so-called allostatic load, which must be necessary to facilitate adaptation and prevent the disruption of systemic regulators (thresholds depend on each biological system) [10,11]. The allostatic load is defined as the additional energetic burden that the organism must bear to adapt and survive [12]. In this sense, the allostatic model allows us to analyze and discuss changes evidenced during the development of depression, thus implementing the monitoring and diagnosis of the disease at different timescales as described recently [13]. Interestingly, Barrett, et al. [14] proposed that the core of depression is a disorder of metabolism and energy regulation (i.e., allostasis overload) with sensory consequences of that regulation (i.e., altered interoception) which results in a relatively ‘locked-in’ depressed brain. This seems to be a valid integration under the paradigm of interoception as modelling and allostasis as control [15]. In fact, previous studies have shown that the greater the allostatic load, the more severe the depressive symptoms in older adults [16].
To deal with depression, several non-pharmacological treatments have been studied including cognitive behavioral therapy, naturopathic interventions, psychotherapy, and physical exercise-based interventions [17]. Under the unified theory, these strategies address the three potential ingredients that can contribute to depression: (i) a metabolically inefficient internal model; (ii) unreliable prediction errors; and, (iii) inaccurate precision signals [14]. Interestingly, due to the positive effects of increasing the level of physical activity on different components of quality of life (e.g., physiological, psychological, and social) [18,19], more and more studies are supporting physical exercise as an evidence-based treatment for depression [20,21,22,23]. In fact, physical activity is considered a mechanism to reduce the allostatic load in several populations [24].
Although less studied, traditional Chinese medicine and Ayurveda have long been used as complementary therapies for the treatment of various diseases, including depression. Among the most common practices is the use of herbal extracts and adaptogens [25]. The term adaptogen was first proposed in 1940 by the Soviet toxicologist Lazarev to describe some herbs that can non-specifically enhance the human body [26]. Subsequently, Brekhman and Dardimov [27] proposed in 1964 a broader version by referring to adaptogens as harmless agents, which non-specifically increase resistance to harmful factors (“stressors”) of a physical, chemical, biological and psychological nature. These pharmacologically active compounds have been shown to elicit a state of non-specific resistance that allows the organism to counteract stressors and/or promote physiological adaptation [28]. Currently, there are a large number of plant-based adaptogens with potential properties for the treatment of neuropathologies, including depression: Panax (ginseng), Hypericum perforatum, Pfaffia paniculata, Rauwolfia serpentina, Rhodiola Rosea, Withania somnifera (Ashwagandha), Eleutherococcus senticosus, Centella asiatica, Camellia sinensis, Astragalus, Valeriana officinalis, Schisandra chinensis, Lepidium meyenii (Maca) and Cordyceps [29]. Most of the plant extracts are characterized by the presence of secondary metabolites with antioxidant and anti-inflammatory effects. These compounds are synthesized by the plants and comprise four major groups such as terpenoids, alkaloids, glycosinolates and phenols [30]. Despite the above, further research is required to establish the most effective plant-based adaptogens, their doses and recommended protocols as co-adjuvants for the treatment of depression. Likewise, the evaluation of the potential combination of adaptogens and physical activity as a non-pharmacological treatment of depression warrants research. Thus, the aim of this systematic integrative review was (i) to evaluate the effect of adaptogen supplementation on depression-related symptoms and outcomes in adults (>18 years old), and (i) to discuss the potential combination with physical exercise to aid planning and commissioning future clinical research.

2. Materials and Methods

The literature review followed the basic framework for integrative reviews described by Whittemore and Knafl [31], which allowed the inclusion of quantitative and qualitative studies. In addition, we used the optimized methodology established by Hopia et al. [32] for the evaluation and analysis of scientific publications, including problem formulation, a literature search, evaluation, analysis, and presentation of findings. The systematic integrative approach has been used previously in health-related topics [33,34,35]. The results were reported according to the established guidelines of the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines [36].

2.1. Eligibility Criteria

The inclusion criteria for this systematic review were as follows: (1) clinical trials (randomized or not), case studies, and comprehensive systematic reviews; (2) published from 2010 onwards; (3) written in English or Spanish; (4) full text available; and (5) studies that evaluated the effect on depression-related symptoms and outcomes (i.e., rating scales, biomarkers and/or diagnostic imaging techniques) after supplementation or co-supplementation with Panax (ginseng), Hypericum perforatum, Pfaffia paniculata, Rauwolfia serpentina, Rhodiola Rosea, Withania somnifera (Ashwagandha), Eleutherococcus senticosus, Centella asiatica, Crocus sativus (Saffron), Camellia sinensis, Astragalus, Valeriana officinalis, Schisandra chinensis, Lepidium meyenii (Macca) and Cordyceps.

2.2. Information Sources

The following academic research databases were selected to explore the literature: PubMed/MEDLINE, ScienceDirect, Scopus, Cochrane, EMBASE, SciELO, OVID and Google Scholar. Further papers were sought manually.

2.3. Search Strategy

The patient, intervention, comparison, outcome (PICO) model was utilized for structuring our research question: P (subjects aged > 18 years old with symptoms and/or diagnosed depression) I (supplementation with adaptogens) C (placebo, or non-exposed control group [pre-post]) O (depression-related symptoms and outcomes) [37]; however, we used the truncated PIC approach to build the search algorithm to emphasize the comparison intervention or exposure [38]. Three authors (M.C.P., J.A.C., and D.A.B.) performed the search independently using the following Boolean algorithms: PubMed, Cochrane Library, Scielo, (adaptogen* OR panax OR ginseng OR Hypericum perforatum OR St John’s wort OR pfaffia paniculata OR rauwolfia serpentina OR rhodiola OR withania somnifera OR ashwagandha OR eleutherococcus OR centella asiatica OR camellia sinensis OR astragalus OR valeriana officinalis OR schisandra chinensis OR lepidium meyenii OR maca OR cordyceps) AND depress*; ScienceDirect, EMBASE and Ovid, (adaptogen OR panax OR ginseng OR Hypericum perforatum OR St John’s wort OR pfaffia paniculata OR rauwolfia serpentina OR rhodiola OR withania somnifera OR ashwagandha OR eleutherococcus OR centella asiatica OR camellia sinensis OR astragalus OR valeriana officinalis OR schisandra chinensis OR lepidium meyenii OR maca OR cordyceps) AND depress. Additionally, the identification of potential studies was enriched by performing a manual search in Google Scholar with free language terms related to “adaptogens, herbal extracts and depression”.

2.4. Selection Process

The selection was carried out by four researchers (M.C.P., J.A.C., I.A.S. and D.A.B.) under the supervision of the other co-authors. After the search of published articles, the filter options of the databases were used to meet inclusion criteria 1 to 4. After this searching process, the remaining references were manually filtered in an Excel file by screening the title and abstract in order to identify duplicates and those ineligible after evaluation of criterion 5. The selection process took place during October 2021 and July 2022, although an updated search was conducted prior to manuscript submission.

2.5. Data Collection Process and Items

The full-text articles of the selected studies were evaluated for meeting the inclusion criteria. The following data were obtained and analyzed from the selected quantitative studies: (i) descriptive statistics of the study population; (ii) study length; (iii) characteristics of the adaptogen supplementation protocol; (iv) the analyzed variables; (v) significant differences in comparison to placebo or non-exposed control group (where available); and (vi) study conclusions. In the case of qualitative studies, we extracted the objective, the type of study, the methodology, and the conclusions by the authors.

2.6. Study Risk of Bias Assessment

Two authors independently evaluated the risk of bias of all included clinical trials using the Cochrane risk of bias tool RoB 2.0 [39]: selection bias, performance bias, detection bias, attrition bias, reporting bias, and any other bias. All randomized participants in the analysis were included, as it was the least biased way to analyze clinical effects. Discrepancies were identified and resolved through discussion (with a third author where necessary). The figures to summarize the results of the risk of bias assessment were developed using the Risk-of-bias VISualization tool (robvis) [40].

2.7. Data Synthesis

Administered and self-reported questionnaires for depression allow evaluation of the symptomatological profile and to determine the severity of the depressive picture. The two most relevant hetero-applied questionnaires were (i) the Hamilton Rating scale for Depression (HAMD), which is of great practical value for evaluating the results of treatment, and is one of the most widely used [41]; and (ii) the Montgomery–Asberg scale, which has an advantage in excluding anxiety symptoms [42]; for this reason, several studies have demonstrated its validity and have classified it as the most important screening for the diagnosis of depression [43]. On the other hand, self-administered scales allow for easier data collection, including but not limited to: (i) the Beck Depression Inventory (BDI) [44]; (ii) the inventory of state-trait depression (IDER) that evaluates the positive (euthymia) and negative (dysthymia) affective state; (iii) the Geriatric Depression Scale (GDS) as a valid and reliable tool for the diagnosis of depression in older adults [45], (iv) the Teate Depression Inventory (TDI-E), which has been shown to exceed the accuracy of HAMD and BDI by 50% [46]; and (v) the Zung self-assessment scale [47].
Although we synthesized effects based on these rating scales, we also considered biomarkers (e.g., brain-derived neurotrophic factor [BDNF], tumor necrosis factor α [TNF-α], interleukin-6 [IL-6], serotonin levels and receptors [5-HT], etc.) and image diagnosis (e.g., magnetic resonance imaging [RMN], computerized axial tomography [CAT], positron emission tomography [PET]) if available. We extracted the changes from the baseline (mean change and SDs of the changes) in the experimental interventions (Adaptogens) and the comparator interventions (placebo or non-exposed control). In addition, the physical activity level of the studied population was set as covariable and extracted from the article information if available. A table of results and comparisons of findings was developed and complemented by the review authors considering the items mentioned before.

3. Results

3.1. Study Selection

The initial search with Boolean algorithms retrieved a total of 4911 articles. However, after filtering the publications (duplicates and inclusion criteria assessment), only 47 were potentially eligible articles. A total of 41 articles met the inclusion criteria (Figure 1).

3.2. Risk of Bias within Studies

The methodological quality of the selected studies included in this systematic integrative review is presented in Figure 2. In general, a moderate risk of bias was detected among the included articles.

3.3. Results of Individual Studies

Table 1 presents the main results of the included studies.

4. Discussion

4.1. Summary of Evidence

Pharmacological and clinical studies evaluating adaptogenic herbal extracts or secondary metabolite-enriched mixtures have shown a positive impact on human physiology under stressful situations. We aimed to perform a systematic integrative review on the effects of several adaptogens on depression-related outcomes besides evaluating the potential combination with physical exercise to optimize results. Similar to previous reports in peri- and postmenopausal women [89] and healthy individuals [90], it has been found that certain adaptogens might have low-to-moderate clinical effects to relieve anxiety and mild depression [31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54]. It is important to note that the number of articles reporting the level of physical activity is very low and null for those combining an exercise program with adaptogen consumption.
A total of 5922 predominately female adults (aged 18 to 97) participated in the clinical trials analyzed in this integrative review (a Price index of 46.4% was obtained for the selected studies). Most of the participants were outpatients diagnosed with mild to moderate major depressive disorder. Importantly, the Hypericum perforatum extract was the most studied adaptogen in the sample of included articles (17/41 [41.46%], three systematic reviews with meta-analysis), followed by Crocus sativus L. (6/41 [14.63%], three systematic reviews with meta-analysis and two systematic reviews), Rhodiola rosea (6/41 [14.63%], two systematic reviews), Withania somnifera (Ashwagandha, 5/41 [12.19%]), Panax (as Korean red ginseng, 3/41 [7.31%]), Lepidium meyenii (Macca, 1/41 [2.43%]), Valeriana officinalis (1/41 [2.43%]), and Cordyceps (1/41 [2.43%]). It is worth noting that previous meta-analyses have been performed before the inclusion criterion for the date of publication of this systematic integrative review. For example, a meta-analysis of clinical trials performed by Linde and colleagues in 2008 indicated Hypericum perforatum extract to be superior to a placebo in patients with major depression, to be similarly effective, and to have fewer side effects than standard antidepressants [91]. Thus, the volume of clinical research and meta-analytic data [69,71,88] reinforces the fact that Hypericum perforatum is the most studied, probably safe and effective adaptogenic herbal extract that might be recommended to practitioners as part of an integral clinical treatment to reduce depressive symptoms. Nevertheless, more research is warranted to evaluate factors that influence response to treatment, such as the type of extract, the duration of the disorder and age of the participants, among others. Crocus sativus L. also has a substantial body of meta-analytic evidence to support clinical practice [57,72,79]; unfortunately, saffron is one of the most expensive herbs on the market today, which reduces its accessibility and practical application [92]. The meta-analyses that evaluated the effects of Hypericum perforatum and Crocus sativus L. were performed in different research groups from several countries including the USA, Singapore, China, Australia, and Hungary.
Contrary to common beliefs, the clinical trials included in this study have been carried out in non-Asian countries such as the USA (7), Germany (5), the UK (3), Canada (1), and Australia (1). This might be seen as an effort to corroborate findings of the last decades by research groups from Korea, China, Iran, and India. In fact, re-analyses of published data are also frequently found in the included studies with the work by Grobler et al. [58] as the only re-analysis that highlighted contradictory findings to the original paper. Large and multi-centered scientific studies have mainly been performed in Germany and the UK. There was a high prevalence of depression assessment using rating scales (e.g., HAMD, BDI) with no systematic reports of biomarkers or imaging analysis in the selected studies. Overall, clinical trials on herbal adaptogenic extracts showed significant improvement in depression-related outcomes over placebo or baseline values (Table 1)—except for Cordyceps militaris. No articles that evaluated the effects of Pfaffia paniculata, Rauwolfia serpentina, Eleutherococcus senticosus, Centella asiatica, Camellia sinensis, Astragalus, or Schisandra chinensis met the inclusion criteria. Interestingly, the findings of the cumulative evidence suggest other additional effects such as the restoration and improvement of mental energy, compensation for the effects of sleep deprivation, protection of the nervous system, and the improvement of memory and perception [52,84,87].

4.2. Potential Mechanisms

Reported clinical improvements of adaptogens on depressive symptoms are probably due to the positive impact of secondary metabolites (e.g., terpenoids, alkaloids, glycosinolates, and phenols) on cellular allostasis (Figure 3). Todovora et al. (2022) [93] concluded that phytostanols, phytosterols, alkaloids, and saponins are among the main phytochemicals isolated from several adaptogenic herbal extracts. Indeed, it is proposed nowadays that depression arises from chronic energy inefficiency and an altered default mode network of the nervous system (interoceptive signaling) [13,14]. In many cases, the antioxidant and anti-inflammatory properties against oxidative stress of the adaptogen-derived secondary metabolites (or other stressors common in depression) have been highlighted to play a protective role at the neurocellular level [30,93,94,95]; however, further research is needed to clarify the metabolic pathways in each adaptogenic herbal extract. In the next paragraphs, we elaborate a brief description of the potential mechanisms of action of the most studied adaptogens (Hypericum perforatum, Crocus sativus, Rhodiola rosea, Panax, and Withania somnifera) and the metabolic signatures of depression.
According to Marrelli et al. (2020), Hypericum spp. generate several secondary metabolites such as phenolic acids, proanthocyanidins, flavonoids, naphthodianthrones, acylphloroglucinols, xanthones, and essential oils [96]. Specifically, Hypericum perforatum has been reported to contain naphthodianthrones, phloroglucinols, xanthones, and flavonoids [97]. Likewise, the secondary metabolites of Withania somnifera (Ashwagandha) (i.e., 12 alkaloids and 35 withanolides) are possibly responsible for the reduction in depression symptoms [98]. Two major active components of Hypericum perforatum, hyperforin and hypericin, are proposed to induce a dualistic modulation of the activity of cholinergic signaling, which can be an interesting topic for future studies [99]. Studies using several models have shown that secondary metabolites derived from Hypericum perforatum possibly increase BDNF or activate its signaling pathway [100,101,102,103]. Crocus sativus L. (Saffron), as one of the most clinically effective herbal extracts [57,72,79], has shown antidepressant effects in various experimental depression models by modulating the BDNF, cyclic AMP response element binding protein (CREB), and VGF pathways [104].
Similar to other adaptogens, it has been proposed that Rhodiola rosea might alleviate depression via the BDNF/TrkB-GSK-3β signaling pathway [105]. Indeed, a systematic review with meta-analysis of pre-clinical studies concluded that possible mechanisms of action of Rhodiola rosea on ischemic stroke may be mainly due to the activation of anti-inflammatory, anti-apoptosis, and anti-oxidative pathways [106]. Complementary, saponins from Rhodiola rosea have been also described as important molecules since they may have potential sedative and hypnotic effects by modulating serotonergic, GABAAergic, and immune systems [107]. In the case of Panax spp., a recent meta-analysis of pre-clinical research reported that many ginsenosides, including ginsenoside Rg1, might be responsible for the antidepressant effects by modulating different biological mechanisms in a dose-response manner [108]. Ginsenoside Rb1, another active compound found in ginseng and water extract of Panax ginseng, has been shown to exert promising antidepressant-like effects in a depression model via the BDNF/TrkB-GSK-3β signaling pathway [109,110]. In addition, recent findings from in vivo studies have shown that ginsenoside Rg1 might protect against neuroinflammation by means of the suppression of connexin43 ubiquitination [111,112]. Connexin43 has an important role in the gap junction channels between astrocytes as the most abundant connexin expressed in these cells; however, a higher ubiquitin-mediated degradation of connexin43 has been associated with the concomitant progression of depression [113]. Interestingly, Korean red ginseng has been proposed to alleviate depressive disorder by improving astrocyte gap junction intercellular communication [114] and which is linked to reductions in neuroinflammation [115]. Nevertheless, this novel anti-depressant mechanism remains fully unknown and warrants more research.
Thus, as depicted in Figure 3, hippocampal BDNF signaling seems to be a conserved antidepressant mechanism among the effects of different plant species [116,117,118]. In addition, based on the analysis of genome-wide effects in T98G neuroglia cells performed recently by Panossian et al. (2017) [94], it seems that the adaptogenic herbal extracts—including those reviewed in this article—might play a modulating role on adaptive stress–response signaling pathways (ASRSPs) such as (i) corticotropin-releasing hormone, cAMP-mediated protein kinase A, and CREB; (ii) signaling pathways related to CXCR4, melatonin, nitric oxide synthase, GP6, Gαs, MAPK, neuroinflammation, neuropathic pain, opioids, renin-angiotensin, AMP-activated protein kinase (AMPK), calcium, and synapses; (iii) and biological processes such as dendritic cell maturation and G-coupled protein receptor-mediated nutrient sensing in enteroendocrine cells.

4.3. Rationale for Synergism with Physical Activity and Future Directions

Future studies integrating adaptogen consumption and a physical exercise program are expected. Regular practice of physical activity has demonstrated a high impact on both physical and mental health in humans [119,120]. These effects point to physical exercise as a protective and inducing agent of biochemical agents responsible for aspects such as the speed of information processing, memory, attention, neuronal signaling, and coordination [121]. In relation to this, Matias et al. [122] reported that physical activity is associated with reduced prevalence of diagnosed depressive symptoms. Currently, physical exercise (both cardiovascular and strength exercise training) is seen as an effective treatment that is associated with significant reductions in and less frequency of symptoms in patients with clinical management for depression [20,21,22].
It must be noted that some nutrients have also been linked or used as potential non-pharmacological strategies during the integral treatment of depression. Kamalzadeh et al. [123] and Okereke [124] have reported an important inverse association between dietary intake of vitamin D and the reduction of depressive symptoms. These anti-depressant effects are enhanced by supplementation with vitamin D3, especially if combined with physical exercise [125]. Similarly, Kious et al. [126] and Ostojic et al. [127] have highlighted the use of creatine as a powerful element for the production and storage of brain energy that can be considered in the form of creatine monohydrate as a safe nutritional strategy for the treatment of depression. It is necessary to point out that depression prevalence is 42% higher among U.S. adults that consume less dietary creatine (0–0.26 g/day) in comparison to those with higher creatine intake (0.70–3.16 g/day) [128]. This agrees with and reinforces the current hypothesis of depression etiology that gives relevance to the dysregulation of energy production in the brain (as part of the allostatic overload) [14].
Dosed physical activity might be considered an effective strategy to reduce allostatic load [24], even in depression and anxiety disorders [129]. Adaptogens have been also associated with lower allostatic load in stressful conditions [130,131]. Interestingly, from a mechanistic point of view, both adaptogenic herbal extracts and physical exercise share the heat shock proteins (HSP) as characteristic modulators of their cellular physiological response–adaptation processes [132,133]. The role of exercise in depression has been also linked to the BDNF pathway and a variety of immuno-inflammatory mechanisms [134] similar to those specifically described for the adaptogenic herbal extracts in relation to the stress-protective activity and increased adaptability of the organism [95]. Considering this, we hypothesize possible additive effects of combining exercise and certain adaptogenic herbal extracts. We suggest that the consumption of Hypericum perforatum or Rhodiola rosea during an exercise physical training program (either resistance or endurance) might evoke positive health outcomes and a significant decrease in depression scores. In spite of the meta-analytic evidence supporting its use, we did not include Crocus sativus L. (saffron) in this practical recommendation due to its high cost which reduces accessibility [135]. Furthermore, it is worth noting the potential impact of Withania somnifera (Ashwagandha) supplementation since it has been recently concluded in systematic reviews with meta-analysis to be an effective strategy to improve physical function [136] and to relieve stress and anxiety [137] in different populations.

4.4. Limitations

This systematic integrative review should be read in light of the following limitations. Firstly, the analysis of the effectiveness of treatments for major psychiatric disorders (including depression) is a highly complex and responsible subject, which requires an interdisciplinary team composed of psychiatrists, pharmacologists, and epidemiologists, among others. In this regard, possible treatments for major depressive disorder (a huge challenge in public health) need very clear scientific support based on solid clinical research [138]. Thus, a critical limitation of the revised literature is that each herbal extract requires extensive research and multidisciplinary insights on clinical guidance/applications, since none of these adaptogens will cure depression, which is multifactorial in nature. Secondly, even though the Jadad scale has been popular and often chosen to evaluate reporting quality, we adhere to previous recommendations and encourage researchers to use the Cochrane risk of bias tool RoB 2.0 when performing systematic reviews and meta-analyses [139]. This is noted in the systematic reviews carried out within recent years. Thirdly, although adaptogenic herbal extracts may modulate ASRSPs, special attention should be paid to the potential herb–drug interactions [140]. Other extracts from Chinese herbal medicine [141,142] with potential anti-depressant effects were not covered in this study and warrant further investigation. Finally, the standardization of herbal extract concentrations is a current problem that highly influences clinical results [143].
On the other hand, it is noteworthy that measurement scales for depression can be hetero- or self-administered, the difference being whether they are administered by a health professional. In terms of biomarkers, several molecules associated with depression are currently used as part of the diagnosis. Several studies relate a decrease in BDNF levels to the presence of depressive symptoms and disorders [144]. Other common biomarkers are certain growth factors (e.g., vascular endothelial growth factor [VEGF], fibroblast growth factor 2 [FGF2], insulin-like growth factor 1 [IGF1]) and pro-inflammatory substances (e.g., IL-6, TNF-α) [145]. Finally, diagnostic imaging encompasses the exploration of changes in certain areas of the brain (e.g., hippocampus and prefrontal cortex) in people with depression using functional RMN, diffusion tensor imaging, CAT, PET, functional near-infrared spectroscopy, among others [46,146,147,148]. Thus, we encourage researchers to commission future studies under an integral assessment approach that includes different methodologies for the diagnosis/description of depressive symptoms including biomarkers and diagnostic imaging techniques.

5. Conclusions

The findings of this systematic integrative review provide more evidence for continuing research on the consumption of Hypericum perforatum and Crocus sativus L. extracts as potential non-pharmacological strategies to alleviate depressive symptoms in the adult population (>18 years) as part of an integral treatment. The potential of Rhodiola rosea, Panax (Ginseng), Lepidium meyenii (Macca), and Withania somnifera (Ashwagandha) should be noted, but more evidence from well-controlled and large-scale clinical trials is crucial to establishing recommendations for these adaptogens into common practice. Future research should also focus on high-quality standardized preparations to provide pharmacovigilance data. On the other hand, considering the lack of studies evaluating the combination of adaptogens and physical exercise, the data presented in this review contribute to the design of controlled, randomized, double-blind clinical trials of the consumption of adaptogenic herbal extracts accompanied by a physical exercise program, mainly resistance training, as a potential treatment of depression.

Author Contributions

Conceptualization, M.C.P., J.A.C., I.A.S. and D.A.B.; methodology, D.A.B.; search and risk of bias assessment; M.C.P., J.A.C., I.A.S. and D.A.B.; formal analysis and visualization, M.C.P., J.A.C., I.A.S. and D.A.B.; writing—original draft preparation, M.C.P., J.A.C., I.A.S., J.K. and D.A.B.; writing—review and editing, Y.P.A., J.K., J.L.P. and R.B.K.; project administration, I.A.S. and D.A.B. All authors have read and agreed to the published version of the manuscript.

Funding

The APC was funded by the Exercise & Sport Nutrition Laboratory (Texas A&M University, USA).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We would like to thank Luz Yurany Moreno (MD Anderson Cancer Center, USA) and Diego A. Forero (Fundación Universitaria Área Andina, Colombia) for providing comments and feedback during the elaboration of this project.

Conflicts of Interest

R.B.K. has conducted industry-sponsored research, received financial support for presenting about dietary supplements at industry-sponsored scientific conferences, and has served as an expert witness on cases related to exercise physiology and nutrition. D.A.B. serves as Science Product Manager for MTX Corporation® in Europe, a company that distributes, sells and performs research on nutritional supplements with adaptogens (e.g., Ashwagandha, Rhodiola rosea, Ginseng), and has acted as a scientific consultant for MET-Rx in Colombia. Additionally, R.B.K. serves as chair of the “Creatine for Health” scientific advisory board for Alzchem Group AG, while D.A.B. serves as a scientific affiliate of this board. The other authors declare no conflicts of interest.

References

  1. Herrman, H.; Kieling, C.; McGorry, P.; Horton, R.; Sargent, J.; Patel, V. Reducing the global burden of depression: A Lancet–World Psychiatric Association Commission. Lancet 2019, 393, e42–e43. [Google Scholar] [CrossRef] [PubMed]
  2. Bartra Alegría, A.F.G.S.; Felimón, E.; Carranza, E.; Felipe, R. Autoconcepto y depresión en estudiantes universitarios de una universidad privada. Red. Rev. Cient. Am. Lat. Caribe España Port. 2016, 6, 53–68. [Google Scholar] [CrossRef]
  3. Bueno-Notivol, J.; Gracia-García, P.; Olaya, B.; Lasheras, I.; López-Antón, R.; Santabárbara, J. Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies. Int. J. Clin. Health Psychol. 2021, 21, 100196. [Google Scholar] [CrossRef] [PubMed]
  4. Delgado, P.L. Depression: The case for a monoamine deficiency. J. Clin. Psychiatry 2000, 61 (Suppl. S6), 7–11. [Google Scholar]
  5. Belujon, P.; Grace, A.A. Dopamine System Dysregulation in Major Depressive Disorders. Int. J. Neuropsychopharmacol. 2017, 20, 1036–1046. [Google Scholar] [CrossRef] [Green Version]
  6. Blier, P. Neurobiology of depression and mechanism of action of depression treatments. J. Clin. Psychiatry 2016, 77, e319. [Google Scholar] [CrossRef]
  7. Zhang, F.F.; Peng, W.; Sweeney, J.A.; Jia, Z.Y.; Gong, Q.Y. Brain structure alterations in depression: Psychoradiological evidence. CNS Neurosci. Ther. 2018, 24, 994–1003. [Google Scholar] [CrossRef] [Green Version]
  8. Sterling, P. Allostasis: A model of predictive regulation. Physiol. Behav. 2012, 106, 5–15. [Google Scholar] [CrossRef]
  9. Pilnik, S.D. El concepto de alostasis: Un paso más allá del estrés y la homeostasis. Rev. Hosp. Ital. B. Aires 2010, 30, 7–12. [Google Scholar]
  10. Rahić, O.; Tucak, A.; Sirbubalo, M.; Hindija, L.; Hadžiabdić, J. Antihypertensives’ Rock around the Clock. Multidiscip. Sci. J. 2021, 4, 62–81. [Google Scholar] [CrossRef]
  11. Bonilla, D.A.; Moreno, Y.; Petro, J.L.; Forero, D.A.; Vargas-Molina, S.; Odriozola-Martinez, A.; Orozco, C.A.; Stout, J.R.; Rawson, E.S.; Kreider, R.B. A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression. Biomedicines 2022, 10, 724. [Google Scholar] [CrossRef]
  12. Bobba-Alves, N.; Juster, R.P.; Picard, M. The energetic cost of allostasis and allostatic load. Psychoneuroendocrinology 2022, 146, 105951. [Google Scholar] [CrossRef]
  13. Arnaldo, I.; Corcoran, A.W.; Friston, K.J.; Ramstead, M.J.D. Stress and its sequelae: An active inference account of the etiological pathway from allostatic overload to depression. Neurosci. Biobehav. Rev. 2022, 135, 104590. [Google Scholar] [CrossRef]
  14. Barrett, L.F.; Quigley, K.S.; Hamilton, P. An active inference theory of allostasis and interoception in depression. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2016, 371, 20160011. [Google Scholar] [CrossRef] [Green Version]
  15. Sennesh, E.; Theriault, J.; Brooks, D.; van de Meent, J.W.; Barrett, L.F.; Quigley, K.S. Interoception as modeling, allostasis as control. Biol. Psychol. 2022, 167, 108242. [Google Scholar] [CrossRef]
  16. Kobrosly, R.W.; van Wijngaarden, E.; Seplaki, C.L.; Cory-Slechta, D.A.; Moynihan, J. Depressive symptoms are associated with allostatic load among community-dwelling older adults. Physiol. Behav. 2014, 123, 223–230. [Google Scholar] [CrossRef] [Green Version]
  17. Farah, W.H.; Alsawas, M.; Mainou, M.; Alahdab, F.; Farah, M.H.; Ahmed, A.T.; Mohamed, E.A.; Almasri, J.; Gionfriddo, M.R.; Castaneda-Guarderas, A.; et al. Non-pharmacological treatment of depression: A systematic review and evidence map. Evid. Based Med. 2016, 21, 214–221. [Google Scholar] [CrossRef]
  18. Gill, D.L.; Hammond, C.C.; Reifsteck, E.J.; Jehu, C.M.; Williams, R.A.; Adams, M.M.; Lange, E.H.; Becofsky, K.; Rodriguez, E.; Shang, Y.T. Physical activity and quality of life. J. Prev. Med. Public Health 2013, 46 (Suppl. S1), S28–S34. [Google Scholar] [CrossRef]
  19. Nguyen, T.M.; Nguyen, V.H.; Kim, J.H. Physical Exercise and Health-Related Quality of Life in Office Workers: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2021, 18, 3791. [Google Scholar] [CrossRef]
  20. Patiño Villada, F.A.; Arango Vélez, E.F.; Baena, L.Z. [Physical Exercise and Depression in the Elderly: A Systematic Review]. Rev. Colomb. Psiquiatr. 2013, 42, 198–211. [Google Scholar] [CrossRef]
  21. Schuch, F.B.; Stubbs, B. The Role of Exercise in Preventing and Treating Depression. Curr. Sports Med. Rep. 2019, 18, 299–304. [Google Scholar] [CrossRef] [PubMed]
  22. Pascoe, M.C.; Parker, A.G. Physical activity and exercise as a universal depression prevention in young people: A narrative review. Early Interv. Psychiatry 2019, 13, 733–739. [Google Scholar] [CrossRef] [PubMed]
  23. Singh, B.; Olds, T.; Curtis, R.; Dumuid, D.; Virgara, R.; Watson, A.; Szeto, K.; O’Connor, E.; Ferguson, T.; Eglitis, E.; et al. Effectiveness of physical activity interventions for improving depression, anxiety and distress: An overview of systematic reviews. Br. J. Sport. Med. 2023. online ahead of print. [Google Scholar] [CrossRef] [PubMed]
  24. Guidi, J.; Lucente, M.; Sonino, N.; Fava, G.A. Allostatic Load and Its Impact on Health: A Systematic Review. Psychother. Psychosom. 2021, 90, 11–27. [Google Scholar] [CrossRef]
  25. Franklin, A.R. Adaptogens EXPLAINED. Health 2018, 32, 76–79. [Google Scholar]
  26. Liao, L.Y.; He, Y.F.; Li, L.; Meng, H.; Dong, Y.M.; Yi, F.; Xiao, P.G. A preliminary review of studies on adaptogens: Comparison of their bioactivity in TCM with that of ginseng-like herbs used worldwide. Chin. Med. 2018, 13, 57. [Google Scholar] [CrossRef] [Green Version]
  27. Panossian, A.; Wikman, G. Effects of Adaptogens on the Central Nervous System and the Molecular Mechanisms Associated with Their Stress—Protective Activity. Pharmaceuticals 2010, 3, 188–224. [Google Scholar] [CrossRef]
  28. Wiegant, F.A.C.; Surinova, S.; Ytsma, E.; Langelaar-Makkinje, M.; Wikman, G.; Post, J.A. Plant adaptogens increase lifespan and stress resistance in C. elegans. Biogerontology 2009, 10, 27–42. [Google Scholar] [CrossRef] [Green Version]
  29. Fekadu, N.; Shibeshi, W.; Engidawork, E. Major Depressive Disorder: Pathophysiology and Clinical Management. J. Depress. Anxiety 2017, 6, 1. [Google Scholar] [CrossRef]
  30. Shitan, N. Secondary metabolites in plants: Transport and self-tolerance mechanisms. Biosci. Biotechnol. Biochem. 2016, 80, 1283–1293. [Google Scholar] [CrossRef] [Green Version]
  31. Whittemore, R.; Knafl, K. The integrative review: Updated methodology. J. Adv. Nurs. 2005, 52, 546–553. [Google Scholar] [CrossRef]
  32. Hopia, H.; Latvala, E.; Liimatainen, L. Reviewing the methodology of an integrative review. Scand. J. Caring Sci. 2016, 30, 662–669. [Google Scholar] [CrossRef]
  33. Segall, L.; Nistor, I.; Covic, A. Heart failure in patients with chronic kidney disease: A systematic integrative review. Biomed. Res. Int. 2014, 2014, 937398. [Google Scholar] [CrossRef] [Green Version]
  34. Clarissa, C.; Salisbury, L.; Rodgers, S.; Kean, S. Early mobilisation in mechanically ventilated patients: A systematic integrative review of definitions and activities. J. Intensive Care 2019, 7, 3. [Google Scholar] [CrossRef] [Green Version]
  35. Bonilla, D.A.; Cardozo, L.A.; Velez-Gutierrez, J.M.; Arevalo-Rodriguez, A.; Vargas-Molina, S.; Stout, J.R.; Kreider, R.B.; Petro, J.L. Exercise Selection and Common Injuries in Fitness Centers: A Systematic Integrative Review and Practical Recommendations. Int. J. Env. Res. Public Health 2022, 19, 12710. [Google Scholar] [CrossRef]
  36. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef]
  37. Higgins, J.P.; Thomas, J.; Chandler, J.; Cumpston, M.; Li, T.; Page, M.J.; Welch, V.A. Cochrane Handbook for Systematic Reviews of Interventions; John Wiley & Sons: Hoboken, NJ, USA, 2019. [Google Scholar]
  38. Eriksen, M.B.; Frandsen, T.F. The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: A systematic review. J. Med. Libr. Assoc. 2018, 106, 420–431. [Google Scholar] [CrossRef]
  39. Sterne, J.A.C.; Savović, J.; Page, M.J.; Elbers, R.G.; Blencowe, N.S.; Boutron, I.; Cates, C.J.; Cheng, H.-Y.; Corbett, M.S.; Eldridge, S.M.; et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ 2019, l4898. [Google Scholar] [CrossRef] [Green Version]
  40. McGuinness, L.A.; Higgins, J.P.T. Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments. Res. Synth. Methods 2020. [Google Scholar] [CrossRef]
  41. Hamilton, M. A rating scale for depression. J. Neurol. Neurosurg. Psychiatry 1960, 23, 56–62. [Google Scholar] [CrossRef] [Green Version]
  42. Álvarez-Mon, M.A.; Vidal, C.; Llavero-Valero, M.; Ortuño, F. Actualización clínica de los trastornos depresivos. Clin. Update Depress. Disord. 2019, 12, 5041–5051. [Google Scholar] [CrossRef]
  43. Hengartner, M.P.; Jakobsen, J.C.; Sørensen, A.; Plöderl, M. Efficacy of new-generation antidepressants assessed with the Montgomery-Asberg Depression Rating Scale, the gold standard clinician rating scale: A meta-analysis of randomised placebo-controlled trials. PLoS ONE 2020, 15, e0229381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Richter, P.; Werner, J.; Heerlein, A.; Kraus, A.; Sauer, H. On the validity of the Beck Depression Inventory. A review. Psychopathology 1998, 31, 160–168. [Google Scholar] [CrossRef] [PubMed]
  45. De Dios del Valle, R.; Hernández Sánchez, A.M.; Rexach Cano, L.I.; Cruz Jentoft, A.J. Validación de una versión de cinco ítems de la Escala de Depresión Geriátrica de Yesavage en población española. Rev. Esp. Geriatr. Gerontol. 2001, 36, 276–280. [Google Scholar] [CrossRef]
  46. Spellman, T.; Liston, C. Toward Circuit Mechanisms of Pathophysiology in Depression. Am. J. Psychiatry 2020, 177, 381–390. [Google Scholar] [CrossRef]
  47. Balsamo, M.; Saggino, A.; Carlucci, L. Tailored Screening for Late-Life Depression: A Short Version of the Teate Depression Inventory (TDI-E). Front. Psychol. 2019, 10, 2693. [Google Scholar] [CrossRef] [Green Version]
  48. Canning, S.; Waterman, M.; Orsi, N.; Ayres, J.; Simpson, N.; Dye, L. The efficacy of Hypericum perforatum (St John’s wort) for the treatment of premenstrual syndrome: A randomized, double-blind, placebo-controlled trial. CNS Drugs 2010, 24, 207–225. [Google Scholar] [CrossRef]
  49. Kasper, S.; Gastpar, M.; Möller, H.-J.; Müller, W.E.; Volz, H.-P.; Dienel, A.; Kieser, M. Better tolerability of St. John’s wort extract WS 5570 compared to treatment with SSRIs: A reanalysis of data from controlled clinical trials in acute major depression. Int. Clin. Psychopharmacol. 2010, 25, 59–63. [Google Scholar] [CrossRef]
  50. Mannel, M.; Kuhn, U.; Schmidt, U.; Ploch, M.; Murck, H. St. John’s wort extract LI160 for the treatment of depression with atypical features—A double-blind, randomized, and placebo-controlled trial. J. Psychiatr. Res. 2010, 44, 760–767. [Google Scholar] [CrossRef]
  51. Melzer, J.; Brignoli, R.; Keck, M.E.; Saller, R. A Hypericum Extract in the Treatment of Depressive Symptoms in Outpatients: An Open Study. Complement. Med. Res. 2010, 17, 7–14. [Google Scholar] [CrossRef] [Green Version]
  52. Dwyer, A.V.; Whitten, D.L.; Hawrelak, J.A. Herbal medicines, other than St. John’s Wort, in the treatment of depression: A systematic review. Altern. Med. Rev. 2011, 16, 40–49. [Google Scholar]
  53. Sacher, J.; Houle, S.; Parkes, J.; Rusjan, P.; Sagrati, S.; Wilson, A.A.; Meyer, J.H. Monoamine oxidase A inhibitor occupancy during treatment of major depressive episodes with moclobemide or St. John’s wort: An [11C]-harmine PET study. J. Psychiatry Neurosci. 2011, 36, 375–382. [Google Scholar] [CrossRef] [Green Version]
  54. Rapaport, M.H.; Nierenberg, A.A.; Howland, R.; Dording, C.; Schettler, P.J.; Mischoulon, D. The treatment of minor depression with St. John’s Wort or citalopram: Failure to show benefit over placebo. J. Psychiatr. Res. 2011, 45, 931–941. [Google Scholar] [CrossRef] [Green Version]
  55. Singer, A.; Schmidt, M.; Hauke, W.; Stade, K. Duration of response after treatment of mild to moderate depression with Hypericum extract STW 3-VI, citalopram and placebo: A reanalysis of data from a controlled clinical trial. Phytomedicine 2011, 18, 739–742. [Google Scholar] [CrossRef]
  56. Sarris, J.; Fava, M.; Schweitzer, I.; Mischoulon, D. St John’s wort (Hypericum perforatum) versus sertraline and placebo in major depressive disorder: Continuation data from a 26-week RCT. Pharmacopsychiatry 2012, 45, 275–278. [Google Scholar] [CrossRef]
  57. Hausenblas, H.A.; Saha, D.; Dubyak, P.J.; Anton, S.D. Saffron (Crocus sativus L.) and major depressive disorder: A meta-analysis of randomized clinical trials. J. Integr. Med. 2013, 11, 377–383. [Google Scholar] [CrossRef] [Green Version]
  58. Grobler, A.C.; Matthews, G.; Molenberghs, G. The impact of missing data on clinical trials: A re-analysis of a placebo controlled trial of Hypericum perforatum (St John’s wort) and sertraline in major depressive disorder. Psychopharmacology 2014, 231, 1987–1999. [Google Scholar] [CrossRef] [Green Version]
  59. Ross, S.M. Rhodiola rosea (SHR-5), Part 2: A standardized extract of Rhodiola rosea is shown to be effective in the treatment of mild to moderate depression. Holist. Nurs. Pr. 2014, 28, 217–221. [Google Scholar] [CrossRef]
  60. Lee, K.J.; Ji, G.E. The effect of fermented red ginseng on depression is mediated by lipids. Nutr. Neurosci. 2014, 17, 7–15. [Google Scholar] [CrossRef]
  61. Lopresti, A.L.; Drummond, P.D. Saffron (Crocus sativus) for depression: A systematic review of clinical studies and examination of underlying antidepressant mechanisms of action. Hum. Psychopharmacol. 2014, 29, 517–527. [Google Scholar] [CrossRef]
  62. Chen, J.A.; Vijapura, S.; Papakostas, G.I.; Parkin, S.R.; Kim, D.J.; Cusin, C.; Baer, L.; Clain, A.J.; Fava, M.; Mischoulon, D. Association between physician beliefs regarding assigned treatment and clinical response: Re-analysis of data from the Hypericum Depression Trial Study Group. Asian J. Psychiatr. 2015, 13, 23–29. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Cropley, M.; Banks, A.P.; Boyle, J. The Effects of Rhodiola rosea L. Extract on Anxiety, Stress, Cognition and Other Mood Symptoms. Phytother. Res. 2015, 29, 1934–1939. [Google Scholar] [CrossRef] [PubMed]
  64. Stojanovska, L.; Law, C.; Lai, B.; Chung, T.; Nelson, K.; Day, S.; Apostolopoulos, V.; Haines, C.J.C. Maca reduces blood pressure and depression, in a pilot study in postmenopausal women. Climacteric 2015, 18, 69–78. [Google Scholar] [CrossRef] [Green Version]
  65. Mao, J.J.; Xie, S.X.; Zee, J.; Soeller, I.; Li, Q.S.; Rockwell, K.; Amsterdam, J.D. Rhodiola rosea versus sertraline for major depressive disorder: A randomized placebo-controlled trial. Phytomedicine 2015, 22, 394–399. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Jeong, H.G.; Ko, Y.H.; Oh, S.Y.; Han, C.; Kim, T.; Joe, S.H. Effect of Korean Red Ginseng as an adjuvant treatment for women with residual symptoms of major depression. Asia Pac. Psychiatry 2015, 7, 330–336. [Google Scholar] [CrossRef]
  67. Amsterdam, J.D.; Panossian, A.G. Rhodiola rosea L. as a putative botanical antidepressant. Phytomedicine 2016, 23, 770–783. [Google Scholar] [CrossRef]
  68. Seifritz, E.; Hatzinger, M.; Holsboer-Trachsler, E. Efficacy of Hypericum extract WS((R)) 5570 compared with paroxetine in patients with a moderate major depressive episode—A subgroup analysis. Int. J. Psychiatry Clin. Pract. 2016, 20, 126–132. [Google Scholar] [CrossRef] [Green Version]
  69. Apaydin, E.A.; Maher, A.R.; Shanman, R.; Booth, M.S.; Miles, J.N.; Sorbero, M.E.; Hempel, S. A systematic review of St. John’s wort for major depressive disorder. Syst. Rev. 2016, 5, 148. [Google Scholar] [CrossRef] [Green Version]
  70. Kell, G.; Rao, A.; Beccaria, G.; Clayton, P.; Inarejos-García, A.M.; Prodanov, M. affron® a novel saffron extract (Crocus sativus L.) improves mood in healthy adults over 4 weeks in a double-blind, parallel, randomized, placebo-controlled clinical trial. Complement. Ther. Med. 2017, 33, 58–64. [Google Scholar] [CrossRef]
  71. Ng, Q.X.; Venkatanarayanan, N.; Ho, C.Y. Clinical use of Hypericum perforatum (St John’s wort) in depression: A meta-analysis. J. Affect. Disord. 2017, 210, 211–221. [Google Scholar] [CrossRef]
  72. Toth, B.; Hegyi, P.; Lantos, T.; Szakacs, Z.; Keremi, B.; Varga, G.; Tenk, J.; Petervari, E.; Balasko, M.; Rumbus, Z.; et al. The Efficacy of Saffron in the Treatment of Mild to Moderate Depression: A Meta-analysis. Planta Med. 2019, 85, 24–31. [Google Scholar] [CrossRef] [Green Version]
  73. Murck, H.; Ploch, M.; Montgomery, S. Mineralocorticoid receptor-related markers and outcome of major depression: Focus on blood pressure and electrolytes. Int. Clin. Psychopharmacol. 2018, 33, 224–228. [Google Scholar] [CrossRef]
  74. Di Pierro, F.; Risso, P.; Settembre, R. Role in depression of a multi-fractionated versus a conventional Hypericum perforatum extract. Panminerva Med. 2018, 60, 156–160. [Google Scholar] [CrossRef]
  75. Alieh Eatemadnia, S.A.; Abedi, P.; Najar, S. The effect of Hypericum perforatum on postmenopausal symptoms and depression: A randomized controlled trial. Complement. Ther. Med. 2019, 45, 109–113. [Google Scholar] [CrossRef]
  76. Gannon, J.M.; Brar, J.; Rai, A.; Chengappa, K.R.J.A.C.P. Effects of a standardized extract of Withania somnifera (Ashwagandha) on depression and anxiety symptoms in persons with schizophrenia participating in a randomized, placebo-controlled clinical trial. Ann. Clin. Psychiatry 2019, 31, 123–129. [Google Scholar]
  77. Lopresti, A.L.; Smith, S.J.; Malvi, H.; Kodgule, R. An investigation into the stress-relieving and pharmacological actions of an ashwagandha (Withania somnifera) extract: A randomized, double-blind, placebo-controlled study. Medicine 2019, 98, e17186. [Google Scholar] [CrossRef]
  78. Gao, L.; Wu, C.; Liao, Y.; Wang, J. Antidepressants effects of Rhodiola capsule combined with sertraline for major depressive disorder: A randomized double-blind placebo-controlled clinical trial. J. Affect. Disord. 2020, 265, 99–103. [Google Scholar] [CrossRef]
  79. Dai, L.; Chen, L.; Wang, W. Safety and Efficacy of Saffron (Crocus sativus L.) for Treating Mild to Moderate Depression: A Systematic Review and Meta-analysis. J. Nerv. Ment. Dis. 2020, 208, 269–276. [Google Scholar] [CrossRef]
  80. Lee, K.H.; Bahk, W.M.; Lee, S.J.; Pae, C.U. Effectiveness and Tolerability of Korean Red Ginseng Augmentation in Major Depressive Disorder Patients with Difficult-to-treat in Routine Practice. Clin. Psychopharmacol. Neurosci. 2020, 18, 621–626. [Google Scholar] [CrossRef]
  81. Konstantinos, F.; Heun, R. The effects of Rhodiola Rosea supplementation on depression, anxiety and mood—A Systematic Review. Glob. Psychiatry Arch. 2020, 3, 72–82. [Google Scholar] [CrossRef]
  82. Zhou, J.; Chen, X.; Xiao, L.; Zhou, J.; Feng, L.; Wang, G. Efficacy and Safety of Cordyceps militaris as an Adjuvant to Duloxetine in the Treatment of Insomnia in Patients with Depression: A 6-Week Double- Blind, Randomized, Placebo-Controlled Trial. Front. Psychiatry 2021, 12, 754921. [Google Scholar] [CrossRef]
  83. Tammadon, M.R.; Nobahar, M.; Hydarinia-Naieni, Z.; Ebrahimian, A.; Ghorbani, R.; Vafaei, A.A. The Effects of Valerian on Sleep Quality, Depression, and State Anxiety in Hemodialysis Patients: A Randomized, Double-blind, Crossover Clinical Trial. Oman Med. J. 2021, 36, e255. [Google Scholar] [CrossRef] [PubMed]
  84. Paul, S.; Chakraborty, S.; Anand, U.; Dey, S.; Nandy, S.; Ghorai, M.; Saha, S.C.; Patil, M.T.; Kandimalla, R.; Prockow, J.; et al. Withania somnifera (L.) Dunal (Ashwagandha): A comprehensive review on ethnopharmacology, pharmacotherapeutics, biomedicinal and toxicological aspects. Biomed. Pharm. 2021, 143, 112175. [Google Scholar] [CrossRef] [PubMed]
  85. Lopresti, A.L.; Smith, S.J. Ashwagandha (Withania somnifera) for the treatment and enhancement of mental and physical conditions: A systematic review of human trials. J. Herb. Med. 2021, 28, 100434. [Google Scholar] [CrossRef]
  86. Speers, A.B.; Cabey, K.A.; Soumyanath, A.; Wright, K.M. Effects of Withania somnifera (Ashwagandha) on Stress and the Stress- Related Neuropsychiatric Disorders Anxiety, Depression, and Insomnia. Curr. Neuropharmacol. 2021, 19, 1468–1495. [Google Scholar] [CrossRef] [PubMed]
  87. Kenda, M.; Kocevar Glavac, N.; Nagy, M.; Sollner Dolenc, M. Medicinal Plants Used for Anxiety, Depression, or Stress Treatment: An Update. Molecules 2022, 27, 6021. [Google Scholar] [CrossRef]
  88. Zhao, X.; Zhang, H.; Wu, Y.; Yu, C. The efficacy and safety of St. John’s wort extract in depression therapy compared to SSRIs in adults: A meta-analysis of randomized clinical trials. Adv. Clin. Exp. Med. 2022, 32, 151–161. [Google Scholar] [CrossRef]
  89. Shahmohammadi, A.; Ramezanpour, N.; Mahdavi Siuki, M.; Dizavandi, F.; Ghazanfarpour, M.; Rahmani, Y.; Tahajjodi, R.; Babakhanian, M. The efficacy of herbal medicines on anxiety and depression in peri- and postmenopausal women: A systematic review and meta-analysis. Post. Reprod. Health 2019, 25, 131–141. [Google Scholar] [CrossRef]
  90. Warren, M.B.; Cowen, P.J.; Harmer, C.J. Subchronic treatment with St John’s wort produces a positive shift in emotional processing in healthy volunteers. J. Psychopharmacol. 2019, 33, 194–201. [Google Scholar] [CrossRef]
  91. Linde, K.; Berner, M.M.; Kriston, L. St John’s wort for major depression. Cochrane Database Syst. Rev. 2008, 2008, CD000448. [Google Scholar] [CrossRef]
  92. Bian, Y.; Zhao, C.; Lee, S.M. Neuroprotective Potency of Saffron Against Neuropsychiatric Diseases, Neurodegenerative Diseases, and Other Brain Disorders: From Bench to Bedside. Front. Pharm. 2020, 11, 579052. [Google Scholar] [CrossRef]
  93. Todorova, V.; Ivanov, K.; Ivanova, S. Comparison between the Biological Active Compounds in Plants with Adaptogenic Properties (Rhaponticum carthamoides, Lepidium meyenii, Eleutherococcus senticosus and Panax ginseng). Plants 2021, 11, 64. [Google Scholar] [CrossRef]
  94. Panossian, A.G.; Efferth, T.; Shikov, A.N.; Pozharitskaya, O.N.; Kuchta, K.; Mukherjee, P.K.; Banerjee, S.; Heinrich, M.; Wu, W.; Guo, D.A.; et al. Evolution of the adaptogenic concept from traditional use to medical systems: Pharmacology of stress- and aging-related diseases. Med. Res. Rev. 2021, 41, 630–703. [Google Scholar] [CrossRef]
  95. Panossian, A. Understanding adaptogenic activity: Specificity of the pharmacological action of adaptogens and other phytochemicals. Ann. N. Y. Acad. Sci. 2017, 1401, 49–64. [Google Scholar] [CrossRef]
  96. Marrelli, M.; Statti, G.; Conforti, F. Hypericum spp.: An Update on the Biological Activities and Metabolic Profiles. Mini Rev. Med. Chem. 2020, 20, 66–87. [Google Scholar] [CrossRef]
  97. Shakya, P.; Marslin, G.; Siram, K.; Beerhues, L.; Franklin, G. Elicitation as a tool to improve the profiles of high-value secondary metabolites and pharmacological properties of Hypericum perforatum. J. Pharm. Pharm. 2019, 71, 70–82. [Google Scholar] [CrossRef] [Green Version]
  98. Kumar, P.; Patel, D. Can Traditional Treatment Such as Ashwagandha Be Beneficial in Treating Depression? Altern. Health Med. 2022, 29, 36–39. [Google Scholar]
  99. Kholghi, G.; Arjmandi-Rad, S.; Zarrindast, M.R.; Vaseghi, S. St. John’s wort (Hypericum perforatum) and depression: What happens to the neurotransmitter systems? Naunyn Schmiedebergs Arch. Pharm. 2022, 395, 629–642. [Google Scholar] [CrossRef]
  100. Valvassori, S.S.; Borges, C.; Bavaresco, D.V.; Varela, R.B.; Resende, W.R.; Peterle, B.R.; Arent, C.O.; Budni, J.; Quevedo, J. Hypericum perforatum chronic treatment affects cognitive parameters and brain neurotrophic factor levels. Braz. J. Psychiatry 2018, 40, 367–375. [Google Scholar] [CrossRef] [Green Version]
  101. Szewczyk, B.; Pochwat, B.; Muszynska, B.; Opoka, W.; Krakowska, A.; Rafalo-Ulinska, A.; Friedland, K.; Nowak, G. Antidepressant-like activity of hyperforin and changes in BDNF and zinc levels in mice exposed to chronic unpredictable mild stress. Behav. Brain Res. 2019, 372, 112045. [Google Scholar] [CrossRef]
  102. Alzoubi, K.H.; Abdel-Hafiz, L.; Khabour, O.F.; El-Elimat, T.; Alzubi, M.A.; Alali, F.Q. Evaluation of the Effect of Hypericum triquetrifolium Turra on Memory Impairment Induced by Chronic Psychosocial Stress in Rats: Role of BDNF. Drug. Des. Devel. 2020, 14, 5299–5314. [Google Scholar] [CrossRef] [PubMed]
  103. Gonulalan, E.M.; Nemutlu, E.; Bayazeid, O.; Kocak, E.; Yalcin, F.N.; Demirezer, L.O. Metabolomics and proteomics profiles of some medicinal plants and correlation with BDNF activity. Phytomedicine 2020, 74, 152920. [Google Scholar] [CrossRef] [PubMed]
  104. Bukhari, S.I.; Manzoor, M.; Dhar, M.K. A comprehensive review of the pharmacological potential of Crocus sativus and its bioactive apocarotenoids. Biomed. Pharm. 2018, 98, 733–745. [Google Scholar] [CrossRef] [PubMed]
  105. Gao, L.; Wu, C.; Liao, Y.; Zhang, S.; Zhao, J. Herba Rhodiolae alleviates depression via the BDNF/TrkB-GSK-3beta signaling pathway. Ann. Transl. Med. 2021, 9, 1758. [Google Scholar] [CrossRef]
  106. Li, Y.; Cai, M.; Mao, G.X.; Shu, Q.F.; Liu, X.B.; Liu, X.L. Preclinical Evidence and Possible Mechanisms of Rhodiola rosea L. and Its Components for Ischemic Stroke: A Systematic Review and Meta-Analysis. Front. Pharm. 2021, 12, 736198. [Google Scholar] [CrossRef]
  107. Hao, Y.F.; Luo, T.; Lu, Z.Y.; Shen, C.Y.; Jiang, J.G. Targets and underlying mechanisms related to the sedative and hypnotic activities of saponins from Rhodiola rosea L. (crassulaceae). Food Funct. 2021, 12, 10589–10601. [Google Scholar] [CrossRef]
  108. Kim, Y.; Cho, S.H. The effect of ginsenosides on depression in preclinical studies: A systematic review and meta-analysis. J. Ginseng Res. 2021, 45, 420–432. [Google Scholar] [CrossRef]
  109. Jiang, N.; Huang, H.; Zhang, Y.; Lv, J.; Wang, Q.; He, Q.; Liu, X. Ginsenoside Rb1 Produces Antidepressant-Like Effects in a Chronic Social Defeat Stress Model of Depression Through the BDNF-Trkb Signaling Pathway. Front. Pharm. 2021, 12, 680903. [Google Scholar] [CrossRef]
  110. Jiang, N.; Wang, H.; Li, C.; Zeng, G.; Lv, J.; Wang, Q.; Chen, Y.; Liu, X. The antidepressant-like effects of the water extract of Panax ginseng and Polygala tenuifolia are mediated via the BDNF-TrkB signaling pathway and neurogenesis in the hippocampus. J. Ethnopharmacol. 2021, 267, 113625. [Google Scholar] [CrossRef]
  111. Wang, H.Q.; Yang, S.W.; Gao, Y.; Liu, Y.J.; Li, X.; Ai, Q.D.; Lin, M.Y.; Yang, Y.T.; Zeng, Q.; Zhang, Y.; et al. Novel antidepressant mechanism of ginsenoside Rg1: Regulating biosynthesis and degradation of connexin43. J. Ethnopharmacol. 2021, 278, 114212. [Google Scholar] [CrossRef]
  112. Wang, H.; Yang, Y.; Yang, S.; Ren, S.; Feng, J.; Liu, Y.; Chen, H.; Chen, N. Ginsenoside Rg1 Ameliorates Neuroinflammation via Suppression of Connexin43 Ubiquitination to Attenuate Depression. Front. Pharm. 2021, 12, 709019. [Google Scholar] [CrossRef]
  113. Zhang, N.N.; Zhang, Y.; Wang, Z.Z.; Chen, N.H. Connexin 43: Insights into candidate pathological mechanisms of depression and its implications in antidepressant therapy. Acta Pharm. Sin. 2022, 43, 2448–2461. [Google Scholar] [CrossRef]
  114. Zheng, Q.L.; Zhu, H.Y.; Xu, X.; Chu, S.F.; Cui, L.Y.; Dong, Y.X.; Liu, Y.J.; Zhan, J.H.; Wang, Z.Z.; Chen, N.H. Korean red ginseng alleviate depressive disorder by improving astrocyte gap junction function. J. Ethnopharmacol. 2021, 281, 114466. [Google Scholar] [CrossRef]
  115. Lee, Y.Y.; Kim, S.D.; Park, S.C.; Rhee, M.H. Panax ginseng: Inflammation, platelet aggregation, thrombus formation, and atherosclerosis crosstalk. J. Ginseng Res. 2022, 46, 54–61. [Google Scholar] [CrossRef]
  116. Moragrega, I.; Rios, J.L. Medicinal Plants in the Treatment of Depression. II: Evidence from Clinical Trials. Planta Med. 2022, 88, 1092–1110. [Google Scholar] [CrossRef]
  117. Bawari, S.; Tewari, D.; Arguelles, S.; Sah, A.N.; Nabavi, S.F.; Xu, S.; Vacca, R.A.; Nabavi, S.M.; Shirooie, S. Targeting BDNF signaling by natural products: Novel synaptic repair therapeutics for neurodegeneration and behavior disorders. Pharm. Res. 2019, 148, 104458. [Google Scholar] [CrossRef]
  118. Khan, H.; Amin, S.; Patel, S. Targeting BDNF modulation by plant glycosides as a novel therapeutic strategy in the treatment of depression. Life Sci. 2018, 196, 18–27. [Google Scholar] [CrossRef]
  119. Yu, Q.; Wong, K.K.; Lei, O.K.; Nie, J.; Shi, Q.; Zou, L.; Kong, Z. Comparative Effectiveness of Multiple Exercise Interventions in the Treatment of Mental Health Disorders: A Systematic Review and Network Meta-Analysis. Sports Med. Open 2022, 8, 135. [Google Scholar] [CrossRef]
  120. Orozco, C.; González-Giraldo, Y.; Bonilla, D.A.; Forero, D.A. W17. Computational Analysis of Genome-Wide Expression Studies of the Effects of Physical Exercise in Humans: Implications for Mental Health. Eur. Neuropsychopharmacol. 2021, 51, e156. [Google Scholar] [CrossRef]
  121. Gomez-Pinilla, F.; Hillman, C. The influence of exercise on cognitive abilities. Compr. Physiol. 2013, 3, 403–428. [Google Scholar] [CrossRef] [Green Version]
  122. Matias, T.S.; Lopes, M.V.V.; da Costa, B.G.G.; Silva, K.S.; Schuch, F.B. Relationship between types of physical activity and depression among 88,522 adults. J. Affect. Disord. 2022, 297, 415–420. [Google Scholar] [CrossRef] [PubMed]
  123. Kamalzadeh, L.; Saghafi, M.; Mortazavi, S.S.; Jolfaei, A.G. Vitamin D deficiency and depression in obese adults: A comparative observational study. BMC Psychiatry 2021, 21, 599. [Google Scholar] [CrossRef] [PubMed]
  124. Okereke, O.I.; Reynolds, C.F., 3rd; Mischoulon, D.; Chang, G.; Vyas, C.M.; Cook, N.R.; Weinberg, A.; Bubes, V.; Copeland, T.; Friedenberg, G.; et al. Effect of Long-term Vitamin D3 Supplementation vs Placebo on Risk of Depression or Clinically Relevant Depressive Symptoms and on Change in Mood Scores: A Randomized Clinical Trial. JAMA 2020, 324, 471–480. [Google Scholar] [CrossRef] [PubMed]
  125. Irandoust, K.; Taheri, M. The Effect of Vitamin D supplement and Indoor Vs Outdoor Physical Activity on Depression of Obese Depressed Women. Asian J. Sports Med. 2017, in press. [Google Scholar] [CrossRef]
  126. Kious, B.M.; Kondo, D.G.; Renshaw, P.F. Creatine for the Treatment of Depression. Biomolecules 2019, 9, 406. [Google Scholar] [CrossRef] [Green Version]
  127. Ostojic, S.M. Creatine as a food supplement for the general population. J. Funct. Foods 2021, 83, 104568. [Google Scholar] [CrossRef]
  128. Bakian, A.V.; Huber, R.S.; Scholl, L.; Renshaw, P.F.; Kondo, D. Dietary creatine intake and depression risk among U.S. adults. Transl. Psychiatry 2020, 10, 52. [Google Scholar] [CrossRef] [Green Version]
  129. D’Alessio, L.; Korman, G.P.; Sarudiansky, M.; Guelman, L.R.; Scevola, L.; Pastore, A.; Obregon, A.; Roldan, E.J.A. Reducing Allostatic Load in Depression and Anxiety Disorders: Physical Activity and Yoga Practice as Add-On Therapies. Front. Psychiatry 2020, 11, 501. [Google Scholar] [CrossRef]
  130. Dobrek, L. The outline of stress pathophysiology and pharmacodynamic action of plant-based eustressors—Adaptogens. Pol. Merkur. Lek. 2019, 46, 103–108. [Google Scholar]
  131. Gulati, K.; Anand, R.; Ray, A. Nutraceuticals as adaptogens. In Nutraceuticals; Academic Press: London, UK, 2016; pp. 193–205. [Google Scholar]
  132. Asea, A.; Kaur, P.; Panossian, A.; Wikman, K.G. Evaluation of molecular chaperons Hsp72 and neuropeptide Y as characteristic markers of adaptogenic activity of plant extracts. Phytomedicine 2013, 20, 1323–1329. [Google Scholar] [CrossRef]
  133. Orozco, C.A.; González-Giraldo, Y.; Bonilla, D.A.; Forero, D.A. An in silico analysis of genome-wide expression profiles of the effects of exhaustive exercise identifies heat shock proteins as the key players. Meta Gene 2022, 31, 101012. [Google Scholar] [CrossRef]
  134. Ross, R.E.; VanDerwerker, C.J.; Saladin, M.E.; Gregory, C.M. The role of exercise in the treatment of depression: Biological underpinnings and clinical outcomes. Mol. Psychiatry 2023, 28, 298–328. [Google Scholar] [CrossRef]
  135. Mzabri, I.; Addi, M.; Berrichi, A. Traditional and Modern Uses of Saffron (Crocus sativus). Cosmetics 2019, 6, 63. [Google Scholar] [CrossRef] [Green Version]
  136. Bonilla, D.A.; Moreno, Y.; Gho, C.; Petro, J.L.; Odriozola-Martinez, A.; Kreider, R.B. Effects of Ashwagandha (Withania somnifera) on Physical Performance: Systematic Review and Bayesian Meta-Analysis. J. Funct. Morphol. Kinesiol. 2021, 6, 20. [Google Scholar] [CrossRef]
  137. Akhgarjand, C.; Asoudeh, F.; Bagheri, A.; Kalantar, Z.; Vahabi, Z.; Shab-Bidar, S.; Rezvani, H.; Djafarian, K. Does Ashwagandha supplementation have a beneficial effect on the management of anxiety and stress? A systematic review and meta-analysis of randomized controlled trials. Phytother. Res. 2022, 36, 4115–4124. [Google Scholar] [CrossRef]
  138. Saki, K.; Bahmani, M.; Rafieian-Kopaei, M. The effect of most important medicinal plants on two importnt psychiatric disorders (anxiety and depression)-a review. Asian Pac. J. Trop. Med. 2014, 7S1, S34–S42. [Google Scholar] [CrossRef] [Green Version]
  139. Liu, Y.; Yang, S.; Dai, J.; Xu, Y.; Zhang, R.; Jiang, H.; Yan, X.; Yang, K. Risk of bias tool in systematic reviews/meta-analyses of acupuncture in Chinese journals. PLoS ONE 2011, 6, e28130. [Google Scholar] [CrossRef] [Green Version]
  140. Lippert, A.; Renner, B. Herb-Drug Interaction in Inflammatory Diseases: Review of Phytomedicine and Herbal Supplements. J. Clin. Med. 2022, 11, 1567. [Google Scholar] [CrossRef]
  141. Yeung, W.F.; Chung, K.F.; Ng, K.Y.; Yu, Y.M.; Ziea, E.T.; Ng, B.F. A systematic review on the efficacy, safety and types of Chinese herbal medicine for depression. J. Psychiatr. Res. 2014, 57, 165–175. [Google Scholar] [CrossRef]
  142. Wang, Y.; Shi, Y.H.; Xu, Z.; Fu, H.; Zeng, H.; Zheng, G.Q. Efficacy and safety of Chinese herbal medicine for depression: A systematic review and meta-analysis of randomized controlled trials. J. Psychiatr. Res. 2019, 117, 74–91. [Google Scholar] [CrossRef]
  143. Atanasov, A.G.; Waltenberger, B.; Pferschy-Wenzig, E.M.; Linder, T.; Wawrosch, C.; Uhrin, P.; Temml, V.; Wang, L.; Schwaiger, S.; Heiss, E.H.; et al. Discovery and resupply of pharmacologically active plant-derived natural products: A review. Biotechnol. Adv. 2015, 33, 1582–1614. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  144. Duman, R.S.; Deyama, S.; Fogaça, M.V. Role of BDNF in the pathophysiology and treatment of depression: Activity-dependent effects distinguish rapid-acting antidepressants. Eur. J. Neurosci. 2021, 53, 126–139. [Google Scholar] [CrossRef] [PubMed]
  145. Duman, R.S.; Aghajanian, G.K.; Sanacora, G.; Krystal, J.H. Synaptic plasticity and depression: New insights from stress and rapid-acting antidepressants. Nat. Med. 2016, 22, 238–249. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Ho, C.S.H.; Lim, L.J.H.; Lim, A.Q.; Chan, N.H.C.; Tan, R.S.; Lee, S.H.; Ho, R.C.M. Diagnostic and Predictive Applications of Functional Near-Infrared Spectroscopy for Major Depressive Disorder: A Systematic Review. Front. Psychiatry 2020, 11, 378. [Google Scholar] [CrossRef]
  147. Zhuo, C.; Li, G.; Lin, X.; Jiang, D.; Xu, Y.; Tian, H.; Wang, W.; Song, X. The rise and fall of MRI studies in major depressive disorder. Transl. Psychiatry 2019, 9, 335. [Google Scholar] [CrossRef] [Green Version]
  148. Castanheira, L.; Silva, C.; Cheniaux, E.; Telles-Correia, D. Neuroimaging Correlates of Depression—Implications to Clinical Practice. Front. Psychiatry 2019, 10, 703. [Google Scholar] [CrossRef]
Figure 1. PRISMA flow Diagram.
Figure 1. PRISMA flow Diagram.
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Figure 2. Risk of bias summary for included studies. Bar chart of the distribution of risk-of-bias judgments. The plot was obtained using the ‘robvis’ package within the R statistical computing environment.
Figure 2. Risk of bias summary for included studies. Bar chart of the distribution of risk-of-bias judgments. The plot was obtained using the ‘robvis’ package within the R statistical computing environment.
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Figure 3. Adaptogens as an antidepressant non-pharmacological strategy. The core of depression is a disorder of metabolism and energy regulation (i.e., allostasis overload) with sensory consequences of that regulation (i.e., altered interoception) which results in a relatively ‘locked-in’ depressed brain. Hypericum perforatum and Crocus sativus have shown clinically significant benefits on depression-related outcomes; notwithstanding, other herbal adaptogenic extracts require more research before translation into clinical practice (e.g., Rhodiola rosea). The protein models shown were taken from the Protein Data Bank archive (https://www.rcsb.org/, accessed on 4 December 2022) and generated at >2.70 Å with X-ray. For brain-derived neurotrophic factor (BDNF), check the UniProtKB: P23560 and PDB ID: 1B8M. For BDNF/NT-3 growth factor receptor (NTRK2), also known as tropomyosin receptor kinase B (TrkB), check the UniProtKB: Q16620 and PDB ID: 1HCF. Source: designed by the authors (D.A.B.) using figure templates developed by Servier Medical Art (Les Laboratoires Servier, Suresnes, France), licensed under a Creative Common Attribution 3.0 Generic License. http://smart.servier.com/ (accessed on 1 December 2022).
Figure 3. Adaptogens as an antidepressant non-pharmacological strategy. The core of depression is a disorder of metabolism and energy regulation (i.e., allostasis overload) with sensory consequences of that regulation (i.e., altered interoception) which results in a relatively ‘locked-in’ depressed brain. Hypericum perforatum and Crocus sativus have shown clinically significant benefits on depression-related outcomes; notwithstanding, other herbal adaptogenic extracts require more research before translation into clinical practice (e.g., Rhodiola rosea). The protein models shown were taken from the Protein Data Bank archive (https://www.rcsb.org/, accessed on 4 December 2022) and generated at >2.70 Å with X-ray. For brain-derived neurotrophic factor (BDNF), check the UniProtKB: P23560 and PDB ID: 1B8M. For BDNF/NT-3 growth factor receptor (NTRK2), also known as tropomyosin receptor kinase B (TrkB), check the UniProtKB: Q16620 and PDB ID: 1HCF. Source: designed by the authors (D.A.B.) using figure templates developed by Servier Medical Art (Les Laboratoires Servier, Suresnes, France), licensed under a Creative Common Attribution 3.0 Generic License. http://smart.servier.com/ (accessed on 1 December 2022).
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Table 1. Synthesis of the selected articles for the integrative review.
Table 1. Synthesis of the selected articles for the integrative review.
ReferencePopulation
n (F:M)
Type of Study/
Country
MethodologyAnalyzed OutcomesMain Findings
AdaptogenSample (n)LengthDosage
Canning et al. 2010 [48]32 (32:0)
Women diagnosed with mild premenstrual syndrome
(18–45 years)
RCT-DB/UKHypericum perforatumHP (17)
Placebo (15)
10 regular menstrual cycles
(25–35 days each)
900 mg∙day−1 (Li160: 80% methanolic dry extract, with 0.18% hypericin and 3.38% hyperforin)BDI, BIS-11, BPAQ, STAIS, hormones and inflammatory cytokinesHP improved physical and behavioral premenstrual symptoms in women with mild premenstrual syndrome. No changes were reported in plasma hormone and cytokines.
Kasper et al. 2010 [49] †1661 males and females who suffered from a single or recurrent acute episode of mild, moderate or severe major depressionRCT-DB/Germany, France & SwedenHypericum perforatumHP_600 (123)
HP_900 (945)
HP_1200 (127)
HP_1800 (69)
Paroxetine (126)
Placebo (271)
6 weeks600–1800 mg∙day−1 (WS5570: 80% methanolic dry extract, with 0.1–0.3% hypericin and 3–6% hyperforin)DSM-IV, HAMDBesides antidepressant efficacy, substantially lower adverse events were evident after HP administration compared to placebo, paroxetine and other SSRI. The ‘typical SSRI side effects’ are less frequent during HP administration.
Mannel et al. 2010 [50]189 (157:32)
Patients diagnosed with atypical depression
(18–70 years)
RCT-DB/GermanyHypericum perforatumHP (91)
Placebo (98)
8 weeks600 mg∙day−1 (Li160: 80% methanolic dry extract, with 0.18% hypericin and 3.38% hyperforin)17-HAMD, HAMD, CGI-S, CGI-I, CGI-E, PHQ-9Results can be interpreted as a strong support for the efficacy of HP in atypical depression. This beneficial effect was mainly in patients with moderate severity, whereas for patients with a mild severity of major depression no clear benefit could be observed.
Melzer et al. 2010 [51]1778 (1411:367)
patients diagnosed with depressive disorders
(18–97 years)
RCT-OL/GermanyHypericum perforatumHP_270 (452)
HP_425 (1319)
12 weeks600–1000 mg∙day−1 (Helarium®: ethanolic dry extract with 0.1–0.3% hypericin, 6% hyperforin, and flavonoid/rutoside 6%)ICD-10, CGI, VAS (subjective well-being)HP was well tolerated and had no side effects. Despite the study limitations, HP was quite an effective antidepressant for mild to moderate depression.
Dwyer et al. 2011 [52]Databases: Medline, Cinahl, AMED, ALT Health Watch, Psych Articles, Psych Info, and CochraneSystematic review/AustraliaHerbal
medicines—other than Hypericum
Nine RCTs fulfilled inclusion criteria6–8 weeksQuality of selected studies was assessed using the Jadad scale.HAMDCrocus sativa [Saffron] showed consistently positive effects. Lavendula angustifolia, Echium amoenum and Rhodiola rosea deserve future research.
Sacher et al. 2011 [53]23 (13:10)
patients with major depression and healthy controls
(19–48 years)
CT/CanadaHypericum perforatumHP (7)
Moclobemide (6)
Control (10)
6 weeks600 mg twice
per day
[11C]-harmine PET, SCID-P, HAMD,HP had a negligible effect on MAO-A binding in vivo and, therefore, should not be classified as an MAO-A inhibitor.
Rapaport et al. 2011 [54]59 female and male patients diagnosed with minor
depression
(21–82 years)
RCT-DB/USAHypericum perforatumHP (22)
Citalopram (18)
Placebo (19)
12-week810 mg∙day−1 (Cederroth International)HAMD, GAF, IDS-SR, IDS-CR, Q-LES-Q, CGI, MOS, PRISEHP has no significant impact on primary and secondary outcomes of minor depressive disorder. However, the effects on physical function were in the HP group when compared to citalopram and placebo.
Singer et al. 2011 [55] †154 (110:44)
outpatients diagnosed with mild to moderate depression
RCT-DB/GermanyHypericum perforatumHP (54)
Citalopram (54)
Placebo (46)
6 weeks900 mg∙day−1
(STW 3-VI: 80% ethanolic extract)
HAMD—relapse and recurrence (%)HP might lower the risk for patients to encounter a relapse and/or recurrence in the time following acute phase treatment of mild to moderate depression, when compared to citalopram.
Sarris et al. 2012 [56]124 (77:43)
DSM-IV diagnosed patients with major depressive disorder
RCT-DB/USAHypericum perforatumHP (35)
Sertraline (49)
Placebo (40)
26 weeks900–1500 mg∙day−1 (Li160: 80% methanolic dry extract, with 0.12–0.28% hypericin)17-HAMD, BDI, GAF, CGI-S, CGI-IData revealed an equivocal outcome between treatments at week 26, both HP and sertraline were still therapeutically effective, with a pronounced “placebo-effect” impeding a significant result at week 26.
Hausenblas et al. 2013 [57]Databases: Allied and Complementary Medicine database, Cumulative Index to Nursing and Allied Health Literature, The Cochrane Library, EMBASE, MEDLINE, PubMed, and Web of ScienceSystematic review with meta-analysis/AustraliaCrocus sativus L.Five RCTs fulfilled inclusion criteria6–8 weeks30 mg∙day−1.
Quality of selected studies was assessed using the Jadad scale.
DSMI-IV, HAMDReviewed articles indicate that saffron supplementation can improve symptoms of depression in adults with major depressive disorder. However, authors stated the need for larger clinical trials following CONSORT guidelines and outside Iran.
Grobler et al. 2014 [58] †340 (224:116)
outpatients diagnosed with major depressive disorder
RCT-DB/USAHypericum perforatumHP (113)
Sertraline (111)
Placebo (116)
8 weeks (optional follow-up phase to 26 weeks)900–1500 mg∙day−1 (Li160: 80% methanolic dry extract, with 0.12–0.28% hypericin)HAMD, GAF, CGI-S, CGI-I, BDI + Blood chemistry and hematologyNo significant difference was established between HP and placebo, but there was a significant difference between the sertraline and placebo. This re-analysis of the original data changes the original conclusion of the trial.
Ross et al. 2014 [59]89 both male and female patients diagnosed with mild to moderate depression
(18–70 years)
RCT-DB/USARhodiola rosea L.RR_340 (31) RR_580 (29)
Placebo (29)
6 weeks340–680 mg∙day−1 (SHR-5 powered root 70% ethanolic extract [4:1])BDI, HAMD340 mg∙day−1 of RR over a 6-week period significantly reduced overall symptoms of depression. Similar results were found in the group that consumed 680 mg of RR but, in addition, there was a significant improvement in self-esteem
parameters.
Lee & Ji
2014 [60]
93 postmenopausal women (50–73 years)RCT-DB/KoreaFermented red ginsengGinseng (49) Placebo (44)2 weeks2.1 g∙day−1 (lyophilized FRG powder)BDI + Blood chemistryA significant difference was found on cognitive depression between the RR and placebo groups, possibly via the energy factor.
Lopestri & Drummond 2014 [61]Databases: PubMed/Medline, Google Scholar, PsycINFO and The Cochrane LibrarySystematic review/AustraliaCrocus sativus L.Six RCTs fulfilled inclusion criteria6–8 weeks30 mg∙day−1 Quality of selected studies was assessed using the Jadad scale.DSM-IV and 17-HAMDSaffron is as a promising natural option for the treatment of mild-to-moderate depression with initial clinical research supporting its efficacy, at least in the short term.
Chen et al. 2015 [62] †277 (183:94)
outpatients diagnosed with major depressive disorder
RCT-DB/USAHypericum perforatumHP (88)
Sertraline (90)
Placebo (99)
8 weeks900–1200 mg∙day−1 (Li160: 80% methanolic dry extract, with 0.12–0.28% hypericin)17-HAMD, GAF, CGI-S, CGI-I, BDIIn the comparative efficacy of HP for treatment of major depressive disorder, clinicians’ guesses regarding subjects’ treatment assignments were significantly associated with improvement in 17-HAMD scores and remission rates, regardless of treatment received.
Cropley et al. 2015 [63]80 (48:32)
mildly anxious participants (score above 30 on the STAI)
RCT-OL/UKRhodiola
rosea L.
RR (39)
Control (41)
14 days400 mg∙day−1 (Vitano®: proprietary dry extract from Rhodiola rosea roots (1.5–5:1) rosalin WS® 1375)STAI, POMS, Perceived Stress ScaleAfter 14 days of intervention, RR was well tolerated and demonstrated to significantly
lower ratings of self-reported anger, confusion, and depression relative to the controls and showed significant improvements in total mood, over the course of the study.
Stojanovska et al. 2015 [64]29 (29:0)
Chinese postmenopausal women
RCT-DB/ChinaLepidium
meyenii
Maca (14)
Placebo (15)
6 weeks3.3 g∙day−1
(Maca Power, Murwillumbah,
Australia: 1386 mg net Maca)
GCS, SF-36 v2, WHQ, UQoL + Blood chemistryNeither estrogenic nor immune effects were found; however, Maca was shown to be effective in reducing blood pressure and depression in postmenopausal women.
Mao et al.
2015 [65]
57 (26:31)
outpatients diagnosed with major depressive disorder
RCT-DB/USARhodiola
rosea L.
RR (20)
Sertraline (19)
Placebo (18)
12 weeks340–680 mg∙day−1 (SHR-5 powered extract with 3.07% rosavin and 1.95% rhodioloside)17-HAMD, CGI-C, BDIFindings suggest that RR might possess modest antidepressant
effects in some patients with mild-to-moderate major depressive disorder. In addition, RR may be better tolerated than conventional anti-depressants.
Jeong et al. 2015 [66]35 (35:0)
outpatients diagnosed with major depressive disorder
CT-OL/KoreaKorean Red GinsengGinseng (35)8 weeks2–3 g∙day−1 (lyophilized powder extract)DRSS, DSSS, MADRS,
CGI-S + Blood chemistry
Korean Red Ginseng treatment for patients with residual depression symptoms seems to
be effective and safe.
Amsterdam et al. 2016 [67]Databases:
BIOSIS, CAplus, TOXCENTER, EMBASE, NAPRALET, PubMed/Medline, and Russian State Library in Moscow
Systematic review/USA & SwedenRhodiola
rosea L.
Two RCTs and seven CT-OL were reviewed2–12 weeks340–680 mg∙day−1 Quality of selected studies was assessed using the Jadad scale.DSM-IV and 17-HAMDThe reviewed literature suggests a possible antidepressant action for RR extract in adult humans. In contrast to most conventional antidepressants, RR extract appears to be well-tolerated in
short-term studies with a favorable safety profile.
Seifritz et al. 2016 [68] †64 (39:25)
outpatients diagnosed with moderate depression
RCT-DB/GermanyHypericum perforatumHP (31)
Paroxetine (33)
6 weeks900 mg∙day−1 (WS5570: 80% methanolic dry extract, with 0.1–0.3% hypericin and 3–6% hyperforin)HAMD—
response and
remission
A daily dose of 900 mg of HP extract was significantly superior to the SSRI (paroxetine 20 mg) with respect to the reduction in the HAMD score during the treatment period.
Apaydin et al. 2016 [69]Databases:
PubMed/Medline CINAHL, Embase, PsycINFO, AMED, CENTRAL, Web of
Science, MANTIS, and ICTRP
Systematic review with meta-analysis/USAHypericum perforatumThirty-five RCTs fulfilled inclusion criteria4–32 weeks100–1200 mg∙day−1
Cochrane Risk of Bias tool, the USPSTF criteria, and the GRADE approach
HAMD—remission and relapseThe available evidence suggests that HP extracts are effective in treating patients with mild and moderate major depressive disorder compared to placebo and to antidepressants. Fewer side effects were reported compared to antidepressants.
Kell et al. 2017 [70]121 (75:46)
patients diagnosed with mild-to- moderate depression
(18–77 years)
RCT-DB/AustraliaCrocus sativus L.Saffron_22 (42) Saffron_28 (41)
Placebo (38)
4 weeks22–28 mg∙day−1
(affron®: capsule with 11–14 mg of standardized saffron extract containing >3.5% lepticrosalides® from Pharmactive Biotech Products)
DASS-21, POMS, PANAS, PSQIA significant decrease in negative mood and symptoms related to stress and anxiety were found after 28-mg/day saffron supplementation. Similarly, sleep quality showed a slight improvement only at 28 mg/day dose.
Ng et al.
2017 [71]
Databases:
PubMed/Medline Ovid, CCDANTR, CFCM, CNKI, and WanFang
Systematic review with meta-analysis/SingaporeHypericum perforatumTwenty-seven RCTs and CTs fulfilled inclusion criteria4–12 weeks20–1350 mg∙day−1
Cochrane Risk of Bias tool and the Jadad scale
HAMD, CGI, MADRS, BDIThe findings further strengthen the support for HP clinical efficacy in alleviating depressive symptoms. In patients
with mild-to-moderate depression, HP demonstrated comparable response and remission rates, and
a significantly lower discontinuation/dropout rate compared to standard SSRIs.
Tóth et al. 2018 [72]Databases:
PubMed/Medline, Embase, Cochrane, and Web of Science
Systematic review with meta-analysis/HungaryCrocus
sativus L.
Eleven RCTs fulfilled inclusion criteria4–32 weeks20–100 mg∙day−1
Cochrane Risk of Bias tool
HAMD, BDIAs stated by the authors, results clearly suggest that saffron reduces the severity of depression, but the optimum dose and duration of treatment are still unclear.
Murck et al. 2018 [73] †247 (183:64)
patients diagnosed with mild to moderate depression
RCT-DB/UKHypericum perforatumHP (123)
Placebo (124)
6 weeks900 mg∙day−1 (Li160: 80% methanolic dry extract, with 0.12–0.28% hypericin)17-HAMD, MADRS + electrolyte-related analysesNo difference was found between HP and placebo. Analysis of the pooled dataset showed that low Na+/K+ ratio and high [K+] was associated with a worse depression-related outcome after 6 weeks of intervention.
Di Pierro et al. 2018 [74]60 (30:30)
patients diagnosed with moderate depression
CT-OL/ItalyHypericum perforatumMono_HP (30)
Multi_HP (30)
48 weeks600 mg∙day−1 (Nervaxon® [mono-fractioned] and IperiPlex® [multi-fractioned]: both extracts with 0.3% hypericin)ZDS + physiological and hormonal analyses + blood chemistryA multi-fractioned HP extract has better clinical outcomes in subjects with depression than mono-fractioned extract without increases in toxicity or reduced tolerability. No side effects were reported.
Eatemadnia et al. 2019 [75]70 (70:0)
Iranian postmenopausal women
RCT-DB/IranHypericum perforatumHP (35)
Placebo (35)
8 weeks0.990 mg∙day−1 (Gole Darou Company, Isfahan, Iran).21-HAMD & modified Kupperman indexHP might significantly reduce the depression score in post-menopausal women after eight weeks of treatment.
Ganon et al.
2019 [76]
59 female and male outpatients diagnosed with schizophrenia
or schizoaffective disorder
RCT-DB secondary analysis/USAWithania somniferaWSE (28)
Placebo (31)
12 weeks500–1000 mg∙day−1 (Sensoril®: standardized extract with ≥8% withanolides and ≤2% withaferin A)PANASSFindings suggest that WSE may hold promise in the treatment of depression and anxiety symptoms in schizophrenia. Although gastrointestinal distress and somnolence were more commonly reported in the WSE group, there were no differences against placebo.
Lopestri et al. 2019 [77]60 (23:37)
mildly anxious participants (score between 6–17 on the HAM-A)
RCT-DB/IndiaWithania somniferaWSE (30)
Placebo (30)
8 weeks240 mg∙day−1 (Shoden®: 70% ethanolic extract with 84 mg of withanolide glycosides)HAMA, DASS-21 + Hormonal analysis + Blood chemistryWSE has positive anxiolytic effects after 60 days at a dose of 240 mg daily. WSE was associated with reduced cortisol and DHEA-S. No reported significant adverse effects.
Gao et al.
2020 [78]
98 (53:45)
outpatients diagnosed with mild-to-moderate major depressive disorder
RCT-DB/ChinaRhodiola rosea L.RR_300 (33)
RR_600 (33)
Sertraline (32)
12 weeks300–600 mg∙day−1 (Tibet GaoYuanan
Biotechnology Co., Ltd., Tibet, China)
HAMD, BDI, CGI-C + Hormonal analysis + Blood chemistryFindings suggest that RR might
have antidepressant effects in patients with mild-to-moderate major depressive disorder. RR
was better tolerated than sertraline.
Dai et al.
2020 [79]
Databases:
PubMed/Medline, Embase, and ScienceDirect
Systematic review with meta-analysis/ChinaCrocus sativus L.Twelve RCTs fulfilled inclusion criteria1–12 weeks20–50 mg∙day−1
Cochrane Risk of Bias tool
HAMD, BDIOverall results showed
that saffron exerted superior effect compared with placebo and that it might be as effective as antidepressants (fluoxetine or citalopram) in alleviating
depressive symptoms. Saffron seemed to be safe and
well tolerated.
Lee et al.
2020 [80]
36 (27:9)
difficult-to-treat patients with major depressive disorder
CT-OL/KoreaKorean Red GinsengGinseng (36)
28 patients had post-baseline visit data
6 weeks2 g∙day−1 (red ginseng extract with ginsenosides)MADRS, PHQ-15, PSS, CGI-IThis study indicates the putative effectiveness and tolerability of red Ginseng for treating patients diagnosed with difficult-to-treat major depressive disorder.
Konstantinos & Heun
2020 [81]
Databases:
PubMed/Medline
Systematic review/Greece & GermanyRhodiola rosea L.Five RCTs fulfilled inclusion criteria2–6 weeks100–1000 mg∙day−1
Cochrane Risk of Bias tool
HAMD, BDI, MADRS, STAI, POMS, SAM, SF-36, CGI-IRR supplementation might alleviate symptoms of mild to moderate depression and mild anxiety, while it may
also enhance mood.
Zhou et al. 2021 [82]48 female and male patients diagnosed with moderate depressionRCT-DB/ChinaCordyceps militarisCordyceps (23)
Placebo (25)
6 weeks2 g∙day−1 (red ginseng extract with ginsenosides)HAMD, AISA significant improvement in HAMD-17 scores was found in both groups; however, there was no significant difference
between the effects of treatment with duloxetine + cordyceps or duloxetine + placebo on the depression-related outcomes.
Tammadon et al. 2021 [83]39 (19:20)
hemodialysis patients
RCT-DB/IranValeriana officinalisValerian (20)
Placebo (19)
4 weeks530 mg∙day−1
(Dried root extract)
PSQI, BDI, STAIValerian significantly
improved sleep quality, the symptoms of state anxiety, and depression in hemodialysis patients.
Paul et al.
2021 [84]
Comprehensive review focused on phytochemistry, clinical and toxicological aspectsLiterature review/IndiaWithania somniferaNo information of inclusion criteria1–42 weeks100–3000 mg
(root extract)
Subjective scales + Inflammatory markers + AntioxidantBased on pre-clinical and clinical research, WSE has been found to be especially active against many neurological and psychological conditions including depression.
Lopresti & Smith
2021 [85]
Databases:
PubMed/Medline CINAHL, Cochrane Library, Scopus, Web of Science
Systematic review/AustraliaWithania somniferaForty-one RCTs fulfilled inclusion criteria4–32 weeks100–1200 mg∙day−1
Cochrane Risk of Bias tool and the Newcastle-Ottawa scale
PSS, HAMA, DASS-21, POMS, CGI + Hormonal analyses + Blood chemistryOverall, the strongest evidence for therapeutic efficacy of WSE is the alleviation of stress and anxiety symptoms. However, few studies have evaluated the impact on depression-related symptoms.
Speers et al. 2021 [86]Databases:
PubMed/Medline, Scopus, Google Scholar
Literature review/USAWithania somniferaNo information of inclusion criteria4–32 weeks120–1000 mg∙day−1 (leaf and root extracts)HAMA, PSS, PANSS, PSQI, QoL, DASSAdditional rigorous studies using standardized WSE products and doses in populations diagnosed with depression rather than healthy participants are needed.
Kenda et al. 2022 [87]Review focused on plants and derived products used for anxiety, depression or stressLiterature review/SloveniaHerbal medicinesNo information of inclusion criteriaNASaffron: 30–200 mg∙day−1
HP: 500–1800 mg∙day−1
NACrocus sativus L. and Hypericum perforatum are effective in ameliorating depression and its use is beneficial in patients with mild to moderate depression.
Zhao et al. 2022 [88]Databases:
PubMed/Medline, CINAHL, Scopus, Web of Science
Systematic review with meta-analysis/ChinaHypericum perforatumFourteen RCTs fulfilled inclusion criteria6–26 weeks300–1800 mg∙day−1
Cochrane Risk of Bias tool
HAMDHP is a cheap, readily available and effective treatment strategy for mild-to-moderate depression. Based on the results of this meta-analysis, the use of HP for depression is strongly recommended.
Data are expressed as means (SD). Participants represent those that were included in the final analysis. [11-C] PET: [11C]-harmine positron emission tomography; IDS-CR: 30-item Inventory of Depressive Symptomatology-Clinician Rated scale; AIS: Athens Insomnia Scale; BDI: Beck Depression Inventory; BIS-11: Barratt Impulsiveness Scale version 11; BPAQ: Aggression Questionnaire; CGI: Clinical Global Impression scale; CGI-C: Clinical Global Impression Change; CGI-E: Clinical Global Impression-Efficacy; CGI-I: Clinical Global Impression-Improvement; CGI-S: Clinical Global Impression-Severity of Illness; CT: clinical trial; DASS-21: 21-Items Depression, Anxiety and Stress Scale; DRSS: Depression Residual Symptom Scale; DSSS: Somatic Symptoms and Depression Scale; GAF; Global Assessment of functioning scale; GCS: Greene Climacteric Scale; HAMA: Hamilton Anxiety Rating Scale; HAMD: Hamilton Scale of Depression; HP: Hypericum Perforatum; IDS-SR: 30-item Inventory of Depressive Symptomatology-Self Report scale; MADRS: Montgomery–Åsberg Depression Rating Scale; MOA-A: monoamine oxidase A; MOS: Medical Outcomes Study 36-item short-form; NA: not available; OL: open labelled; PANAS: Positive and Negative Affect Schedule; PHQ: Patient Health Questionnaire; POMS: profile of mood states; PRISE: Patient-Rated Inventory of Side Effects; PSQI: Pittsburgh Sleep Quality Index; PSS: Patient Satisfaction Score; Q-LES-Q: Quality of Life, Enjoyment and Satisfaction Questionnaire; RR: Rhodiola rosea; RCT-DB: double-blinded randomized clinical trial; SCID-P: Structured Clinical Interview for DSM-IV, Patient Edition; SSRI: Selective Serotonin Reuptake Inhibitors; STAI: State-Trait Anxiety Inventor; VAS: visual analogue scale; WHQ: Women’s Health Questionnaire; UQoL: Utian Quality of Life; WSE: Withania somnifera (ashwagandha) extract; ZDS: Zung Depression Self-Rafting Scale. † Re-analyzed data.
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MDPI and ACS Style

Sánchez, I.A.; Cuchimba, J.A.; Pineda, M.C.; Argüello, Y.P.; Kočí, J.; Kreider, R.B.; Petro, J.L.; Bonilla, D.A. Adaptogens on Depression-Related Outcomes: A Systematic Integrative Review and Rationale of Synergism with Physical Activity. Int. J. Environ. Res. Public Health 2023, 20, 5298. https://doi.org/10.3390/ijerph20075298

AMA Style

Sánchez IA, Cuchimba JA, Pineda MC, Argüello YP, Kočí J, Kreider RB, Petro JL, Bonilla DA. Adaptogens on Depression-Related Outcomes: A Systematic Integrative Review and Rationale of Synergism with Physical Activity. International Journal of Environmental Research and Public Health. 2023; 20(7):5298. https://doi.org/10.3390/ijerph20075298

Chicago/Turabian Style

Sánchez, Isabel A., Jaime A. Cuchimba, María C. Pineda, Yenny P. Argüello, Jana Kočí, Richard B. Kreider, Jorge L. Petro, and Diego A. Bonilla. 2023. "Adaptogens on Depression-Related Outcomes: A Systematic Integrative Review and Rationale of Synergism with Physical Activity" International Journal of Environmental Research and Public Health 20, no. 7: 5298. https://doi.org/10.3390/ijerph20075298

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