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Title

Traditional Chinese herbal medicine in treating amenorrhea caused by antipsychotic drugs: Meta-analysis and systematic review.

Authors

Liu L, Li H, Tan G, Ma Z.

Journal

J Ethnopharmacol.

Year

2022

Vol (Issue)

289

Page

115044.

doi

10.1016/j.jep.2022.115044.

PMID

35101572

Url

http://www.ncbi.nlm.nih.gov/pubmed/35101572

MeSH

Amenorrhea / chemically induced
Amenorrhea / drug therapy*
Antipsychotic Agents / administration & dosage
Antipsychotic Agents / adverse effects*
Drugs, Chinese Herbal / pharmacology*
Female
Humans
Medicine, Chinese Traditional / methods
Randomized Controlled Trials as Topic

Keywords

Amenorrhea; Antipsychotic drug; Chinese medicine; Herbal medicine; Mental disorder

한글 키워드

무월경; 항정신병 약물; 중의학; 중약; 정신병

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Summary & Commentary

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Korean Study

Abstract

Ethnopharmacological relevance: Amenorrhea caused by antipsychotic drugs is not uncommon in clinical practice, and various treatment strategies are used to treat the condition. Chinese herbal medicine has its own theory for amenorrhea caused by antipsychotic drugs and has developed its own medication methods.

Aim of the study: To review and conduct meta-analysis of the use of traditional Chinese herbal medicine in treatment of amenorrhea caused by antipsychotic drugs.

Materials and methods: A search was conducted across seven Chinese electronic databases (the China National Knowledge Infrastructure (CNKI) database, the China Science and Technology Journal Database, the Wanfang Database, the SinoMed, the Foreign Medical Literature Retrieval Service(FMRS), the Chinese University of Hong Kong Library, the Airiti Library), and the following English databases: MEDLINE, PreMEDLINE, OLD MEDLINE、Publisher Supplied Citation in pubmed; JBI EBP Database, EBM Reviews, Embase, OVID Emcare, Ovid MEDLINE(R), Maternity & Infant Care Database(MIDIRS), APA PsycInfo in OVID, and Cochrane Database of Systematic Reviews (Cochrane Reviews), Database of Abstracts of Reviews of Effects (Other Reviews), Cochrane Central Register of Controlled Trials (Clinical Trials),The Cochrane Methodology Register (Method Studies), Health Technology Assessment Database (Technology Assessments), NHS Economic Evaluation Database (Economic Evaluations) in Cochrane Library; and four databases (Science Direct, ProQuest, Web of Science, and Scopus) in official website using common standards and inclusion/exclusion criteria. The remaining reports were used for preliminary studies. Due to inconsistencies in control groups, randomized controlled trials and articles that combined with other drugs were also excluded. This study is a META analysis of a single rate.

Results: Initial screening returned 912 potentially relevant publications in all databases. After subsequent filtering, a total of 18 articles were included in the analysis. The overall effectiveness for treatment amenorrhea caused by antipsychotic drugs using traditional Chinese herbal medicine was 0.91, with 95% confidence interval of 0.89-0.93. Notably in most studies, the time needed to achieve this level of effectiveness was relatively long, usually in excess of three months. Although a satisfactory verification of an improvement in menstrual cycling takes time, the long treatment duration is a downside. Our analysis revealed that the following Chinese herbal remedies were most common: Danggui (Angelica sinensis (Oliv.) Diels), Chuanxiong (Ligusticum striatum DC.), Taoren (Prunus persica (L.) Batsch), Honghua (Carthamus tinctorius L.), Gancao (Glycyrrhiza uralensis Fisch.), Fuling ((Fungus) Poria cocos (Schw.) Wolf), Baizhu (Atractylodes macrocephala Koidz.), Xiangfu (Cyperus rotundus L.), Chaihu (Bupleurum chinense DC.), Shudihuang (Rehmannia glutinosa (Gaertn.) DC.(Processed), Baishao (Cynanchum otophyllum C.K.Schneid.) CONCLUSIONS: Chinese herbal medicine can effectively treat amenorrhea caused by psychiatric drugs, although it takes a long time to achieve satisfactory effectiveness. More research is needed to better understand different aspects of Chinese herbal medicine use in treatment of this particular medical condition.

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