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SYSTEMATIC REVIEW article

Front. Pharmacol., 08 August 2024
Sec. Ethnopharmacology
This article is part of the Research Topic Natural Products in Medicine: Insights from History and Ethnopharmacology View all 7 articles

Effectiveness and safety of East Asian herbal medicine for menopausal insomnia: a systematic review and meta-analysis

  • 1Department of Oriental Neuropsychiatry, Dong-eui University College of Korean Medicine, Busan, Republic of Korea
  • 2KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
  • 3Department of Obstetrics and Gynecology, College of Korean Medicine, Daejeon University, Daejeon, Republic of Korea

Background: Menopausal insomnia significantly impacts the quality of life in women. East Asian herbal medicines (EAHMs) have been traditionally used in Asian countries, but their efficacy and safety require systematic evaluation. This systematic review and meta-analysis aimed to evaluate the effectiveness and safety of EAHM for treating menopausal insomnia.

Methods: A comprehensive literature search was conducted across 10 electronic databases from inception until 19 July 2023. Randomized controlled trials (RCTs) investigating EAHM for menopausal insomnia were included. Two reviewers independently screened studies, extracted data, and assessed the risk of bias using the Cochrane risk of bias tool. The primary outcome was sleep quality, insomnia severity, and sleep architecture. Secondary outcomes included total effective rate (TER), menopausal symptoms, and adverse effects. Meta-analysis was conducted using a random-effects model, and the results were calculated as mean differences (MDs) or risk ratios (RRs) and their 95% confidence intervals (CIs). Also, the certainty of evidence was assessed using the GRADE approach.

Results: A total of 70 RCTs involving 6,035 participants met the inclusion criteria. The most frequently used EAHMs were modified Suan Zao Ren Tang, and the most frequently used herbal component was Zizyphus jujuba Miller var. spinosa Hu ex H. F. Chou [Rhamnaceae; Zizyphi Semen]. Compared with sedative-hypnotics, EAHM significantly improved sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI) (MD –2.18, 95% CI –2.56 to −1.80), and reduced menopausal symptoms, as assessed by the Kupperman Index (MD –4.92, 95% CI –6.03 to −3.80). Similar results were seen when EAHM was added to sedative-hypnotics. When EAHM was additionally used in sedative-hypnotics, similar benefits were shown for PSQI (MD –2.46, 95% CI –3.09 to −1.82) and the Kupperman Index (MD –4.64, 95% CI –5.07 to −4.21). EAHM was generally safer than sedative-hypnotics, with significantly fewer adverse reactions (RR 0.15, 95% CI 0.07–0.34). However, the certainty of evidence was moderate to low.

Conclusion: EAHMs, alone or with sedative-hypnotics, may be effective and safe for improving sleep quality and managing menopausal symptoms. Future studies should include diverse populations, rigorous methodologies, and explore mechanisms of action to confirm these findings.

Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?], identifier [CRD42023446708].

1 Introduction

Rapid change in sex hormones that begins during the menopausal transition can affect many biological systems, causing clinical signs and symptoms in various areas of the body, including the central nervous system, endocrine system, genitourinary system, musculoskeletal system, and cardiovascular system (Monteleone et al., 2018). Changes in sleep patterns are also common during menopause, and according to a study including the Study of Women Across the Nation cohort, 30.8% of menopausal women suffer from one or more sleep disorders (Kravitz and Joffe, 2011). A recent meta-analysis showed that the prevalence of sleep disorders during menopause is 51.6% (Salari et al., 2023). The presence of this sleep disorder is clinically important because it not only seriously impairs quality of life in itself but is also associated with negative health conditions such as cardiometabolic outcomes in this population (Ciano et al., 2017).

Treatment for menopausal insomnia includes cognitive-behavioral treatment of insomnia, hormone therapy, non-hormonal pharmacological medications, and non-pharmacological and self-management strategies (Baker et al., 2018). Meanwhile, complementary and integrative medicine (CIM) is considered a popular and evidence-based menopausal symptom management method (Ebrahimi et al., 2020), with approximately one in two women using CIM specifically for menopausal symptoms (Posadzki et al., 2013). South Korea is a country where Korean medicine (KM), which is a form of traditional East Asian medicine (TEAM), plays a major role in the national medical system (Kim et al., 2021), and KM doctors utilize some CIM modalities including East Asian herbal medicine (EAHM) to treat menopausal disorders (Jun et al., 2019). In TEAM theory and practice, individualized treatment is emphasized with EAHM, using mixtures of whole plants or specific parts of herbs in a holistic approach (Marshall, 2020; Li et al., 2021). This contrasts with Western practices, where dietary supplements are typically developed using one or two medicinal herbs (Li et al., 2021).

Recent studies have shown that EAHM can result in significant clinical benefits by improving menopausal symptoms (Li et al., 2019) as well as insomnia (Ni et al., 2015). The sedative-hypnotic effects of some EAHMs that have been used for insomnia, Zizyphus jujuba Miller var. spinosa Hu ex H. F. Chou [Rhamnaceae; Zizyphi Semen], Glycyrrhiza glabra L. [Fabaceae; Glycyrrhizae Radix et Rhizoma], and Paeonia lactiflora Pall. [Paeoniaceae; Paeoniae Radix], have been demonstrated (Shi et al., 2016). Several alkaloids, terpenoids, and volatile oils, flavonoids, lignanoids and coumarins, and saponins have been found to be responsible for the sedative-hypnotic effects of these EAHMs in experimental studies (Shi et al., 2016). For example, EAHMs based on Zizyphus jujuba M. var. spinosa Hu ex H. F. Chou [Rhamnaceae; Zizyphi Semen] have been demonstrated to have clinical benefit in the treatment of insomnia as a monotherapy or in combination with sedative-hypnotics, and its therapeutic mechanism has been found to mainly mediate the GABAergic and serotonergic systems (Zhou et al., 2018). Therapeutic mechanisms of EAHM are often described as multiple components-multiple targets-multiple pathways (Zhang et al., 2019), suggesting the multiple effectiveness of this therapeutic intervention.

However, the clinical effects of EAHM on menopausal insomnia and/or concurrent menopausal symptoms have not been sufficiently studied. Although an earlier systematic review have investigated the effects of EAHM on sleep dysfunction in peri- and post-menopause (Khadivzadeh et al., 2018), TEAM-based herbal medicine (i.e., EAHM) was rarely considered in this study. The databases searched in the existing study were MEDLINE, Scopus and the Cochrane Library (Khadivzadeh et al., 2018), which lacked databases related to EATM, and the search strategy used was not specifically designed for TEAM modalities. For example, a meta-epidemiological study on acupuncture studies, another representative TEAM modality, found the use of intervention-specific databases such as China National Knowledge Infrastructure (CNKI) and WanFang, as well as PubMed and the Cochrane Library, enabled efficient literature search (Guo et al., 2022). Also, as TEAM has a significant impact on population health in Asian countries such as South Korea, China, Japan, and Taiwan (Park et al., 2012), this issue is clinically relevant and needs urgent attention. Systematic reviews are considered an appropriate research methodology to enable the integration of TEAM-based therapeutic interventions, such as EAHM, into evidence-based clinical practice (Zhang et al., 2011).

Therefore, the purpose of this study is to systematically review the effectiveness and safety of oral EAHM, based on TEAM, as monotherapy or adjunctive therapy (i.e., intervention) in improving sleep outcomes (i.e., outcomes) among climacteric women with insomnia (i.e., population), compared with wait-list, placebo, or active controls (i.e., comparator). This review focused on EAHM based on TEAM, which was insufficiently covered in a previous systematic review (Khadivzadeh et al., 2018).

2 Methods

This systematic review adhered to the Preferred Reporting Items for Systematic reviews and Meta-Analyses statement (Page et al., 2021).

2.1 Protocol registration

The protocol of the systematic review was registered in PROSPERO (CRD42023446708), and there were no deviations from the protocol.

2.2 Eligibility criteria

The inclusion criteria for this review are summarized in the following P-I-C-O-S format.

2.2.1 Population

Climacteric (perimenopausal, menopausal, or postmenopausal) women diagnosed with insomnia or complaining of insomnia symptoms were included, without limitation on age, race, and nationality. Patients with insomnia having severe mental disorders such as schizophrenia were excluded from the study.

2.2.2 Intervention

Studies involving oral EAHMs as monotherapy or adjunctive therapies to conventional medication such as sedative-hypnotics, with or without routine care for menopausal conditions were included. Any dosage form of oral EAHMs prescribed based on TEAM theories was allowed.

2.2.3 Comparator

Studies involving wait-list, placebo EAHM, or conventional medication such as sedative-hypnotics, with or without routine care for menopausal conditions, as a control group interventions were included. However, studies that compared the effects of different EAHMs or studies that used TEAM-based interventions such as acupuncture as a control group intervention were excluded.

2.2.4 Primary outcome

Sleep-specific outcomes: These include measures of sleep quality, insomnia severity, and sleep architecture assessed after treatment. These outcomes are evaluated using both subjective measures [such as the Pittsburgh Sleep Quality Index (PSQI) (Buysse et al., 1989) and the Insomnia Severity Index (ISI) (Bastien et al., 2001)] and objective measures (such as polysomnography and actigraphy data). The PSQI evaluates overall sleep quality and disturbances, while the ISI assesses the severity of insomnia symptoms.

2.2.5 Secondary outcome

(1) Total effective rate (TER): This is calculated based on improvements in insomnia symptoms post-treatment; (2) menopausal symptoms index scores: These scores assess the severity and frequency of menopausal symptoms; (3) incidence of adverse events: This measures the occurrence of any adverse events reported during or after treatment.

2.2.6 Study design

Only randomized controlled clinical trials (RCTs) with appropriate randomization methods were included. In other words, referring to existing studies that cautioned against the lack of appropriate description of randomization in some RCTs (Wu et al., 2009), this review included studies that described specific randomization methods, such as random number table generation.

2.2.7 Others

There were no restrictions on publication language. In addition to articles published in journals, conference proceedings were also included.

2.3 Search sources and strategy

The following 10 electronic databases were searched on 19 July 2023: Medline via PubMed, Embase via Elsevier, Cochrane Central Register of Controlled Trials via Cochrane Library, Allied and Complementary Medicine Database via EBSCO, Oriental Medicine Advanced Searching Integrated System, Research Information Sharing Service, Korean Medical Database, ScienceON, CNKI, and Wanfang data. Search terms were set under discussion between a specialist in obstetrics and gynecology of KM and systematic review experts. The references cited in the relevant studies were searched to find additional eligible studies. The full search strategies and search results are described in Supplementary Material S1.

2.4 Study selection and data collection

Using EndNote 20 (Clarivate Analytics, PA, United States), the titles and abstracts of studies searched from the databases and those identified from additional sources were screened. The full texts of the eligible studies were retrieved and assessed for final inclusion. A pilot-tested Excel form was used to extract data from the included studies. The extracted information included study characteristics (name of the first author, year of publication, country, ethical approval, and sample size), details of participants, interventions, comparators, outcomes of interest, results, and information for assessment of the risk of bias. Two researchers (CYK and BL) conducted the study selection independently. One researcher (CYK) conducted data extraction, and another researcher (BL) reviewed the results. All discrepancies were resolved through discussion with the corresponding author (JYL).

2.5 Risk of bias assessment

The Cochrane risk of bias tool was used to assess the risk of bias in the included studies (Higgins et al., 2011). The following seven domains were assessed and categorized as low, unclear, and high risk of bias for each included study: random sequence generation, treatment allocation concealment, blinding of participants and personnel, blinding of outcome assessment, completeness of outcome data, selective outcome reporting, and other sources of bias. Other sources of bias were assessed, especially focusing on the statistical homogeneity of baseline characteristics between the treatment and control groups. One researcher (CYK) conducted a risk of bias assessment, and another researcher (BL) reviewed the results. Any discrepancies were resolved through discussion with the corresponding author (JYL).

2.6 Data analysis and synthesis

Descriptive analysis was performed on all included studies. Where two or more studies compared the same type of interventions and comparators, with the same outcome measures, meta-analysis was conducted using Review Manager software, version 5.4 (Cochrane, London, UK). Continuous variables were synthesized using mean difference (MD), and dichotomous variables were synthesized using risk ratio (RR), with 95% confidence intervals (CIs). Statistical heterogeneity between the studies was assessed using the I2 statistic, and an I2 value greater than 50% was considered substantial heterogeneity. The results were pooled using a random-effects model considering the inevitable clinical heterogeneity of EAHMs used in each study. A subgroup analysis was planned according to the EAHM administration period [≤1 mo, >1 mo ≤ 2 mo, and >2 mo (Kwon et al., 2019)] and baseline insomnia severity of participants. When 10 or more studies were included in the meta-analysis, the evidence for publication bias was tested through the asymmetry of the funnel plot and Egger’s test.

2.7 Certainty assessment

The certainty of evidence of effect estimates was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach (Balshem et al., 2011). The risk of bias, inconsistency, indirectness, imprecision, and publication bias were assessed for each estimate, and the certainty of evidence was presented as High, Moderate, Low, and Very Low.

3 Results

3.1 Study selection and characteristics

A total of 4,359 studies were searched from various information sources and after the removal of duplicates, the titles and abstracts of 3,630 studies were screened. In total, 267 studies met our selection criteria, and the full texts of these studies were retrieved and assessed. After excluding 53 not-RCTs, 134 studies without appropriate randomization method, four studies not targeting insomnia, two studies comparing EAHMs, three studies where the effects of EAHM alone were not considered, and one study not reporting outcomes of interest (Supplementary Material S2), 70 studies involving 6,035 participants (Chen and Du, 2007; Lu, 2007; Jia and Yang, 2008; Zhang and Chen, 2009; Lai et al., 2011; Chen and Yang, 2012; Zhang et al., 2012; Lei, 2013; Bai et al., 2014; Geng and Yu, 2014; Jia, 2014; Wang, 2014; Yao et al., 2014; Li and Luo, 2015; Ye et al., 2015; Guo, 2016; Li, 2016; Sun and Huang, 2016; Weng, 2016; Zheng, 2016; Hua, 2017; Rui et al., 2017; Zhao et al., 2017; Wang F. et al., 2018; Wang L. et al., 2018; Li and Gu, 2018; Ma, 2018; Shen and Wang, 2018; Shi, 2018; Xing, 2018; Zhao, 2018; Cai et al., 2019; Chen et al., 2019; Hu, 2019; Lu, 2019; Pang, 2019; Pu and Wang, 2019; Li X., 2020; Li Z., 2020; Hu, 2020; Huang et al., 2020; Lan, 2020; Mahmoudi et al., 2020; Mao, 2020; Shan and Du, 2020; Sun and Tian, 2020; Wei and Yang, 2020; Zhang et al., 2020; Zheng, 2020; Zhu and Wang, 2020; Wang M.-R. et al., 2021; Wang Q. et al., 2021; Li, 2021; Liu, 2021; Luo et al., 2021; Qiao et al., 2021; Su et al., 2021; Zhang et al., 2021; Lai et al., 2022; Li and Zhang, 2022; Mi et al., 2022; Pan et al., 2022; Wang et al., 2022; Wang and Wang, 2022; You et al., 2022; Zeng et al., 2022; Jia et al., 2023; Qin, 2023; Wang and Ma, 2023; Xu et al., 2023) were finally included (Figure 1).

Figure 1
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Figure 1. Study selection process. RCT, randomized controlled clinical trial.

One study was conducted in Iran (Mahmoudi et al., 2020), and the remaining sixty-nine studies were conducted in China. In addition to menopausal insomnia, three studies (Wang L. et al., 2018; Wei and Yang, 2020; Li and Zhang, 2022) targeted patients with accompanied anxiety, one study (Luo et al., 2021) targeted patients with accompanied depression, and three studies (Yao et al., 2014; Li and Gu, 2018; Qiao et al., 2021) targeted patients with accompanied hypertension. The remaining studies only targeted patients with menopausal insomnia. There were 27 studies that targeted participants with specific pattern identification, of which 10 were related to the liver and kidney (Zhang et al., 2012; Lei, 2013; Wang F. et al., 2018; Pu and Wang, 2019; Wei and Yang, 2020; Zhang et al., 2020; Lai et al., 2022; Mi et al., 2022; Wang and Ma, 2023; Xu et al., 2023), two were liver- and spleen-related (Chen et al., 2019; Qin, 2023), two were liver-related (Wang M.-R. et al., 2021; Pan et al., 2022), six were heart- and kidney-related (Zhang and Chen, 2009; Li and Luo, 2015; Mao, 2020; Qiao et al., 2021; Zeng et al., 2022; Jia et al., 2023), three were about yin deficiency and fire excess (Geng and Yu, 2014; Cai et al., 2019; Lu, 2019), two were kidney-related (Li and Gu, 2018; Su et al., 2021), one was about deficiency of blood and yin (Weng, 2016), and one about was phlegm-heat (Sun and Huang, 2016). Twenty studies (Rui et al., 2017; Shen and Wang, 2018; Shi, 2018; Xing, 2018; Cai et al., 2019; Chen et al., 2019; Li X., 2020; Huang et al., 2020; Mahmoudi et al., 2020; Sun and Tian, 2020; Wei and Yang, 2020; Zhu and Wang, 2020; Wang M.-R. et al., 2021; Li, 2021; Qiao et al., 2021; Li and Zhang, 2022; Mi et al., 2022; Pan et al., 2022; Zeng et al., 2022; Jia et al., 2023) reported receiving ethical approval from an institutional review board, and the remaining studies had no relevant mentions about approval.

Overall, 39 studies compared EAHM and conventional medication, of which 36 used sedative-hypnotics (Chen and Du, 2007; Zhang and Chen, 2009; Lai et al., 2011; Zhang et al., 2012; Lei, 2013; Bai et al., 2014; Geng and Yu, 2014; Wang, 2014; Li and Luo, 2015; Ye et al., 2015; Guo, 2016; Li, 2016; Sun and Huang, 2016; Weng, 2016; Hua, 2017; Zhao et al., 2017; Wang F. et al., 2018; Li and Gu, 2018; Xing, 2018; Zhao, 2018; Chen et al., 2019; Hu, 2019; Lu, 2019; Li Z., 2020; Lan, 2020; Sun and Tian, 2020; Wei and Yang, 2020; Zheng, 2020; Zhu and Wang, 2020; Wang Q. et al., 2021; Liu, 2021; Zhang et al., 2021; Li and Zhang, 2022; Wang et al., 2022; Jia et al., 2023; Xu et al., 2023), one used estradiol (Wang and Ma, 2023), and two used oryzanol (Lu, 2007; Li, 2021) as the control group. In 28 studies, the authors evaluated the effectiveness of EAHM as an add-on therapy to conventional medication, of which 23 studies used sedative-hypnotics (Chen and Yang, 2012; Jia, 2014; Zheng, 2016; Rui et al., 2017; Ma, 2018; Shen and Wang, 2018; Shi, 2018; Cai et al., 2019; Pang, 2019; Pu and Wang, 2019; Hu, 2020; Huang et al., 2020; Mao, 2020; Shan and Du, 2020; Zhang et al., 2020; Wang M.-R. et al., 2021; Qiao et al., 2021; Su et al., 2021; Lai et al., 2022; Pan et al., 2022; Wang and Wang, 2022; You et al., 2022; Qin, 2023), three studies used antidepressants (Jia and Yang, 2008; Wang L. et al., 2018; Luo et al., 2021), one study used estradiol (Li X., 2020), and one study used losartan potassium (Yao et al., 2014) as the control group. In three studies (Mahmoudi et al., 2020; Mi et al., 2022; Zeng et al., 2022), EAHM was compared with placebo EAHM (Supplementary Material S3).

3.2 Characteristics of EAHM used

A total of 71 kinds of EAHMs were used, including one study that used 2 EAHMs in succession (Chen et al., 2019). Depending on the study, various EAHMs were administered to participants for various treatment periods, and the most frequently used EAHMs were modified Suan Zao Ren Tang (Wang, 2014; Li, 2016; Zhao et al., 2017; Zhao, 2018; Sun and Tian, 2020; Wang M.-R. et al., 2021), followed by modified Gan Mai Da Zao Tang (Lu, 2007; Wang F. et al., 2018; Hu, 2019; Zheng, 2020; Li, 2021), and modified Chaihu Jia Longgu Muli Tang (Chen et al., 2019; Wang Q. et al., 2021; Pan et al., 2022; Wang and Wang, 2022). In 35 studies, specific botanical drugs were added or removed based on patients’ specific symptoms or pattern identification (Lu, 2007; Jia and Yang, 2008; Zhang and Chen, 2009; Chen and Yang, 2012; Bai et al., 2014; Geng and Yu, 2014; Wang, 2014; Sun and Huang, 2016; Zheng, 2016; Rui et al., 2017; Zhao et al., 2017; Ma, 2018; Shen and Wang, 2018; Shi, 2018; Xing, 2018; Zhao, 2018; Cai et al., 2019; Chen et al., 2019; Hu, 2019; Lu, 2019; Li Z., 2020; Hu, 2020; Shan and Du, 2020; Sun and Tian, 2020; Zheng, 2020; Zhu and Wang, 2020; Wang M.-R. et al., 2021; Wang Q. et al., 2021; Li, 2021; Qiao et al., 2021; Zhang et al., 2021; Lai et al., 2022; Pan et al., 2022; Wang et al., 2022; Qin, 2023). As for the dosage form of EAHM, capsules were used in three (Li X., 2020; Mahmoudi et al., 2020; Li and Zhang, 2022), granules in (Zeng et al., 2022; Jia et al., 2023), mixtures in two (Li and Luo, 2015; Liu, 2021), and pills in three studies (Li and Gu, 2018; Pang, 2019; Luo et al., 2021); various decoction methods were used in the remaining studies. Only 11 studies (Li and Gu, 2018; Li X., 2020; Mahmoudi et al., 2020; Zhang et al., 2020; Wang M.-R. et al., 2021; Luo et al., 2021; Qiao et al., 2021; Li and Zhang, 2022; Mi et al., 2022; You et al., 2022; Jia et al., 2023) reported the pharmaceutical producer of EAHM used. Among the included studies, none reported quality control measures or chemical analysis of EAHM. Among the EAHMs used, three were approved by relevant health authorities: Qiju Dihuang Pill (Chinese medicine no. Z41021905) (Li and Gu, 2018), Kuntai Capsule (Z20000083) (Li X., 2020; Li and Zhang, 2022), and Danzhi Xiaoyao Pill (Z53020866) (Luo et al., 2021). The treatment period in the included studies varied from 7 days to 3 months. In one study, the treatment period was not specified (Hua, 2017), in another study, the specified treatment period was 4–8 weeks (Jia and Yang, 2008). In the remaining 68 studies, the average treatment period was 35.18 days (Supplementary Material S4).

The most frequently used botanical drugs in the included studies were Zizyphus jujuba M. var. spinosa Hu ex H. F. Chou [Rhamnaceae; Zizyphi Semen] (42 studies), followed by G. glabra L. [Fabaceae; Glycyrrhizae Radix et Rhizoma] (39 studies), P. lactiflora Pall. [Paeoniaceae; Paeoniae Radix] (32 studies), Poria cocos Wolf [Polyporaceae; Poria Sclerotium] (29 studies), Bupleurum falcatum L. [Apiaceae; Bupleuri Radix] (28 studies), Angelica gigas Nakai [Apiaceae; Angelicae Gigantis Radix] (24 studies), and Ostrea gigas Thunberg [Ostreidae; Ostreae Testa] (24 studies) (Supplementary Material S5).

3.3 Risk of bias assessment

All studies were deemed to generate random sequences appropriately by using random number tables. In four studies (Mahmoudi et al., 2020; Qiao et al., 2021; Mi et al., 2022; Zeng et al., 2022), allocation concealment was conducted using envelopes, and only three studies (Mahmoudi et al., 2020; Mi et al., 2022; Zeng et al., 2022) where EAHM and placebo EAHM were compared conducted blinding of participants and personnel appropriately. Blinding of outcome assessor was reported only in one study (Zeng et al., 2022). Two studies (Li and Luo, 2015; Jia et al., 2023) included dropouts but no information on the reasons for their withdrawal was stated, and per-protocol analysis was performed, resulting in high risk of attrition bias. In seventeen studies (Lu, 2007; Jia and Yang, 2008; Lai et al., 2011; Chen and Yang, 2012; Geng and Yu, 2014; Jia, 2014; Yao et al., 2014; Li and Luo, 2015; Li, 2016; Hua, 2017; Wang L. et al., 2018; Ma, 2018; Xing, 2018; Zhao, 2018; Hu, 2019; Zheng, 2020; Liu, 2021), validated evaluation tools were not used and secondary indicators, such as TER, were evaluated as high risk of reporting bias (Figure 2; Supplementary Material S6).

Figure 2
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Figure 2. Risk of bias summary Low, unclear, and high risk, respectively, are represented with the following symbols: “+”, “?”, and “-”.

3.4 Effectiveness and safety of herbal medicine as a monotherapy

1) Versus conventional medications for insomnia. Compared with sedative-hypnotics, EAHM significantly improved sleep quality measured using the PSQI [20 studies, mean difference (MD) −2.18, 95% confidence interval (CI) −2.56 to −1.80]. However, no significant difference was observed in the Self-rating Scale of Sleep (two studies, MD –0.97, 95% CI –3.26 to 1.32) and the Athens Insomnia Scale (two studies, MD –1.80, 95% CI –4.10 to 0.50) scores. In one study (Xu et al., 2023), sleep quality was measured using the Spiegel Sleep Questionnaire, and it was significantly improved with EAHM compared with sedative-hypnotics (p < 0.05). TER based on insomnia symptoms was significantly higher in the EAHM group [30 studies, RR 1.16, 95% CI 1.13 to 1.20] than in the sedative-hypnotics group. In addition, menopausal symptoms, measured using the Kupperman Index (five studies, MD –4.92, 95% CI –6.03 to −3.80) and Greene climacteric scale (Li and Luo, 2015) (p < 0.05), significantly improved in the EAHM group. Furthermore, the incidence of adverse events was significantly lower in the EAHM group (14 studies, RR 0.15, 95% CI 0.07–0.34) than in the sedative-hypnotics group (Table 1).

2) Versus conventional medications for menopausal disorders. Compared with estradiol, EAHM significantly improved PSQI scores (p < 0.01). However, estradiol significantly improved the Kupperman Index scores than EAHM (p < 0.01), and no difference in TER based on insomnia symptoms were observed (EAHM, 93.3%; estradiol, 90.0%) (Wang and Ma, 2023). Compared with oryzanol, EAHM significantly improved PSQI (Li, 2021) and Kupperman Index scores (Li, 2021), along with TER based on insomnia symptoms (Lu, 2007; Li, 2021) (p < 0.05, all), with no difference in incidence of adverse events (Li, 2021).

3) Versus placebo. Compared with placebo EAHM, EAHM significantly improved PSQI scores (two studies, MD –5.05, 95% CI –9.06 to −1.04) (Table 1). In addition, TER based on insomnia symptoms (Mi et al., 2022) and Kupperman Index scores (Mi et al., 2022; Zeng et al., 2022) were significantly improved (p < 0.05, all), without any adverse events (Mi et al., 2022; Zeng et al., 2022).

4) Subgroup analysis. Overall, subgroup analysis based on the EAHM administration period did not show significant changes in statistical heterogeneity and effect size (Table 1).

Table 1
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Table 1. Level of evidence for EAHM as monotherapy.

3.5 Effectiveness and safety of herbal medicine as an adjunctive therapy

1) Combined with conventional medications for insomnia. Compared with sedative-hypnotics alone, EAHM plus sedative-hypnotics significantly improved PSQI scores (16 studies, MD –2.46, 95% CI –3.09 to −1.82), TER based on insomnia symptom (20 studies, RR 1.18, 95% CI 1.14–1.23), and Kupperman Index scores (3 studies, MD –4.64, 95% CI –5.07 to −4.21), with no difference in the incidence of adverse events between the two therapies (13 studies, RR 0.70, 95% CI 0.47–1.05) (Table 2). In addition, polysomnography data including total sleep time, rapid-eye-movement sleep time, sleep latency, waking time, and sleep efficiency (%) (Rui et al., 2017), and the Spiegel Sleep Questionnaire scores (Su et al., 2021) significantly improved in the EAHM combination group (p < 0.05, all).

2) Combined with other psychotropics. Compared with antidepressants alone, EAHM plus antidepressants significantly improved TER based on insomnia symptoms (two studies, RR 1.16, 95% CI 1.02–1.31), with no difference in incidence of adverse events between the two therapies (two studies, RR 0.52, 95% CI 0.14–1.89) (Table 2). In addition, PSQI also significantly improved after treatment in the EAHM combination group (p < 0.05) (Luo et al., 2021).

3) Combined with other conventional medications. Compared with estradiol alone, EAHM combined with other medications significantly improved PSQI and Kupperman Index scores after treatment (p < 0.05, all) (Li X., 2020). In addition, compared with losartan potassium alone, EAHM combined with other medications significantly improved TER based on insomnia symptoms in patients with menopausal insomnia and hypertension (p < 0.05) (Yao et al., 2014).

4) Subgroup analysis. Overall, subgroup analysis based on the EAHM administration period did not show significant changes in statistical heterogeneity and effect size (Table 2).

Table 2
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Table 2. Level of evidence for EAHM as adjuvant therapy.

3.6 Publication bias

According to the funnel plots and Egger’s tests, when comparing EAHM and sedative-hypnotics, the results did not suggest publication bias in PSQI scores (p = 0.667) and adverse events (p = 0.058) (Figure 3); however, publication bias was suggested in TER based on insomnia symptom (p = 0.001). When comparing EAHM plus sedative-hypnotics and sedative-hypnotics alone, publication bias was suggested in PSQI scores (p = 0.043) but not in TER based on insomnia symptoms (p = 0.151) and adverse events (p = 0.52) (Supplementary Material S7).

Figure 3
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Figure 3. Title: Funnel plots of EAHM compared with sedative-hypnotics on PSQI. Footnotes: EAHM, East Asian herbal medicine; PSQI, Pittsburgh sleep quality index.

3.7 Certainty of evidence

The certainty of evidence for effect estimates comparing EAHM with sedative-hypnotics and comparing EAHM plus sedative-hypnotics with sedative-hypnotics alone was generally moderate to low because of the risk of bias of the included studies, imprecision due to small sample size and wide confidence intervals, and publication bias. The certainty of evidence for effect estimates comparing EAHM with placebo EAHM was moderate because of the imprecision due to the small sample size (Tables 1, 2).

4 Discussion

4.1 Summary of findings

Our main finding is that EAHM is uniquely effective in the treatment of menopausal disorders. Specifically, according to the meta-analysis, EAHM as a monotherapy was not only significantly effective in improving sleep quality, but it also showed significant superiority in terms of Kupperman Index score improvement and safety profile compared to sedative-hypnotics. As an adjuvant therapy, EAHM showed significantly better results in improving both sleep quality and Kupperman Index scores than those of conventional medicine alone. However, the methodological quality of the included studies was limited, and the certainty of evidence assessed based on GRADE ranged from “very low” to “moderate,” with no case being evaluated as “high.”

4.2 Clinical interpretation

Based on our current findings, for patients with menopausal insomnia, EAHM, as monotherapy or adjuvant therapy, was significantly more effective in improving sleep quality and menopausal syndrome symptoms compared with sedative-hypnotics alone. The superiority of EAHM may be due to the unique pathology of menopausal insomnia. Specifically, menopausal insomnia is associated with vasomotor and physical menopausal symptoms in this population (Kim et al., 2018; DePree et al., 2023). In this context, improvement of menopausal symptoms may contribute to the treatment of menopausal insomnia. EAHM is composed of various botanical drugs, and its therapeutic mechanism is characterized by multiple components-multiple targets-multiple pathways (Zhang et al., 2019). Based on our findings, the most frequently used botanical drug in EAHM for the treatment of menopausal insomnia is Zizyphus jujuba M. var. spinosa Hu ex H. F. Chou [Rhamnaceae; Zizyphi Semen], and this has been confirmed by other researchers (Liu et al., 2015). Additionally, during a double-blind RCT conducted in Iran, capsules of this botanical drug were compared with a placebo and found that they improve sleep quality in postmenopausal women (Mahmoudi et al., 2020). Interestingly, this botanical drug was one of the most frequently studied botanical drugs as a component of EAHM for menopausal symptoms (Zhu et al., 2016). During an in silico study where the anti-insomnia mechanism of EAHMs was investigated, including this botanical drug (i.e., the Suan Zao Ren Prescription), the researchers found that most of the EAHMs exert broad hormone-regulating effects by targeting estrogen receptors, progesterone receptors, and adrenergic receptors (Gao et al., 2019). We found that the second most commonly used botanical drug was G. glabra L. [Fabaceae; Glycyrrhizae Radix et Rhizoma], and its effect on improving sleep and menopausal symptoms has been reported. Glabrol, one of the main flavonoid metabolites of this botanical drug, was found to have a sleep-inducing effect through a positive allosteric modulation of γ-aminobutyric acid (GABA) type A-benzodiazepine receptors (Cho et al., 2012). Additionally, this botanical drug contains liquiritigenin, a phytoestrogen, in various amounts depending on the species, and is known to have partial estrogen agonist activity (Hajirahimkhan et al., 2013b). These multiple pharmacological actions of EAHM can be considered as the underlying mechanism that may be responsible for the improved effectiveness of EAHM compared with sedative-hypnotics in menopausal insomnia.

The results of the current review show that EAHM was superior to estradiol in improving sleep quality but inferior in improving the Kupperman Index scores. This suggests that EAHM can be considered an effective alternative when insomnia is present as a menopausal symptom. Additionally, although not investigated in this study, EAHM is reported to be effective in improving menopause-related health problems, such as sleep deprivation and osteoporosis (Yi et al., 2018). Meanwhile, it has been shown that phytoestrogens, contained in some botanical drugs, can increase sex hormone levels, although the levels are much lower than those induced by hormone therapy; therefore, caution is needed when prescribing to individuals with contraindications (Saghafi et al., 2017). The use of dietary supplements, including herbal products, to treat menopausal disorders is common, and it is often done without consultation with doctors or pharmacists (Chiba, 2023). Therefore, it is advisable to ensure the safe use of EAHM in the menopausal population under the guidance of an expert such as a KM doctor who has sufficient knowledge about TEAM. If EAHM cannot be used, acupressure or acupuncture and other modalities of TEAM can be considered as they are known to be effective in improving menopausal symptoms (Ebrahimi et al., 2020; Zhao et al., 2021).

Based on our current findings, the combination of EAHM and conventional medication showed better results than conventional medication alone in most cases, including sleep quality and the Kupperman Index scores. Despite these positive findings, the herb-drug interaction should be considered and their combination is recommended in clinical settings. For instance, Zizyphus jujuba M. var. spinosa Hu ex H. F. Chou [Rhamnaceae; Zizyphi Semen], the botanical drug most frequently used in the studies included in this review, may have mechanisms similar to that of sedative-hypnotics by affecting GABAergic signaling (Bruni et al., 2021). According to a previous study, concurrent use of EAHMs and sedative-hypnotics is associated with a favorable safety profile, including a reduced risk of hip fracture in individuals with insomnia (Lee et al., 2013). Moreover, a recent clinical trial revealed that the combined use of EAHM, commonly used for insomnia, and zolpidem tartrate increased efficacy without a significant change in the occurrence of adverse events (Zhu et al., 2022). It is desirable to disseminate information from an evidence-based medicine perspective on the interaction between EAHM and sedative-hypnotics among both prescribing doctors and the public.

Phytoestrogens have been shown to not only improve menopausal symptoms but also have positive benefits for the health of various organs, and they are considered an alternative to hormone replacement therapy (Desmawati and Sulastri, 2019). However, the therapeutic effect of EAHM on menopause cannot be explained solely by the estrogenic effect. EAHM may also affect the improvement of menopausal symptoms through non-estrogenic mechanisms, such as alleviation of oxidative stress, inhibition of prostaglandin D2 receptor 1, and serotonergic activities (Hajirahimkhan et al., 2013a; Tsoumani et al., 2022). Additionally, in this population using estrogen plus progestin, the use of EAHM is not significantly associated with an increased risk of breast cancer (Tsai et al., 2014) but rather with a decreased risk (Tsai et al., 2017). In general, the use of EAHM in the menopausal population seems to be safe, but information sharing and evidence-based education with physicians are important (Chiba, 2023). The East Asian countries using TEAM already operate a system of medical personnel who specialize in EAHM, highlighting their important role in the healthcare of menopausal women.

4.3 Suggestions for further studies

Based on the findings from this review, we propose the following recommendations for further research. First, considering that the effect of EAHM on menopausal insomnia is characterized by multiple components-multiple targets-multiple pathways (Zhang et al., 2019) and EAHM based on TEAM is not composed of a single botanical drug but of multiple botanical drugs, understanding the interaction between botanical drugs in therapeutic mechanism is crucial. For instance, G. glabra L. [Fabaceae; Glycyrrhizae Radix et Rhizoma] and Ziziphus jujuba Mill. [Rhamnaceae; Zizyphi Fructus] are an important combination in the treatment of menopausal symptoms, and the sedative, antidepressant, estrogenic, and antiprogestogenic effects of this combination have been revealed through non-clinical experiments (Coyle et al., 2021). However, there are limited studies that consider the therapeutic mechanism of the combination of important botanical drugs in menopausal insomnia, and this is an important future research area. Second, efficacy of EAHM in improving insomnia in patients with menopausal insomnia requires a thorough understanding. This includes investigating not only the direct effects of EAHM on insomnia but also the secondary effect through the improvement of other menopausal symptoms. For instance, an attempt could be made to further analyze the relationship between the changes in patients’ menopausal symptoms and degree of improvement in insomnia. Third, uncovering the differential effects of EAHM on menopausal symptoms, including menopausal insomnia, will enhance the effective use of EAHM in future clinical settings. Fourth, because this systematic review targeted RCTs that investigated the effectiveness and safety of EAHM on menopausal insomnia, findings on the underlying therapeutic mechanisms of EAHM used are lacking. Future literature review will be able to clearly define the therapeutic mechanism of EAHM for menopausal insomnia by comprehensively examining related preclinical experiments.

4.4 Limitations

We acknowledge the following limitations in our systematic review. First, the overall risk of bias in the included studies was not optimal. Although this review included RCTs with appropriate randomization, most of the other risk of bias domains showed unfavorable methodological quality. Specifically, clinical trials using placebo were rare, and only one trial implemented blinding of the outcome assessor. Therefore, the results obtained in these studies are potentially vulnerable to the placebo effect. Owing to the methodological limitations of most of the included studies, the certainty of evidence assessed by GRADE was also generally moderate to low. This suggests that our findings could be greatly influenced by future high-quality research in this field. Additionally, the fact that most of the included studies were published in local journals in China suggests a potential risk of publication bias (Jia et al., 2020). Second, the composition of EAHMs used in the included studies was heterogeneous. Therefore, it was not possible to find the optimal EAHM for menopausal insomnia in this review. Third, because most of the included studies were conducted in China, these results are difficult to generalize to the global population. This is because familiarity, knowledge, and attitudes toward EAHM based on TEAM may differ between Chinese and non-Asian populations. Fourth, among the included studies, no studies that reported on insomnia severity using categorizable indicators such as ISI, so subgroup analysis according to insomnia severity was not possible. However, further investigation is needed to determine the possibility of differential effects of EAHM according to baseline insomnia severity in menopausal insomnia patients.

5 Conclusion

This systematic review is the most comprehensive and recent work examining the effectiveness and safety of EAHM for menopausal insomnia. The current findings provide limited evidence that EAHM, based on TEAM, may help improve both sleep quality and other menopausal symptoms for treating menopausal insomnia. Specifically, EAHM showed significantly superior effects in improving sleep quality and menopausal symptoms in individuals with menopausal insomnia as monotherapy or combination therapy with sedative-hypnotics, and had few adverse reactions. However, the certainty of the evidence is moderate to low, indicating a need for further high-quality research. Future studies should aim to improve the quality by implementing blinding of participants, investigators, and outcome assessors. Additionally, a deeper understanding of the mechanisms of action of EAHM is needed. Expanding research to include diverse populations is essential to confirm the generalizability of these findings. These steps will be critical in substantiating the potential of EAHM as a valuable treatment option for menopausal insomnia.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

C-YK: Conceptualization, Formal Analysis, Methodology, Writing–original draft. BL: Conceptualization, Formal Analysis, Methodology, Writing–original draft. J-YL: Conceptualization, Funding acquisition, Supervision, Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), which was funded by the Ministry of Health and Welfare, Republic of Korea (grant number: RS-2023-KH139021).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2024.1414700/full#supplementary-material

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Keywords: insomnia, sleep Initiation and maintenance disorders, climacteric, herbal medicine, East Asian traditional medicine

Citation: Kwon C-Y, Lee B and Lee J-Y (2024) Effectiveness and safety of East Asian herbal medicine for menopausal insomnia: a systematic review and meta-analysis. Front. Pharmacol. 15:1414700. doi: 10.3389/fphar.2024.1414700

Received: 09 April 2024; Accepted: 23 July 2024;
Published: 08 August 2024.

Edited by:

Ping-Jyun Sung, National Museum of Marine Biology and Aquarium, Taiwan

Reviewed by:

Germain Sotoing Taiwe, University of Buea, Cameroon
Gabino Garrido, Catholic University of the North, Chile

Copyright © 2024 Kwon, Lee and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ji-Yeon Lee, jyounl@daum.net

These authors share first authorship

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