Jennifer Cruz , Yan Zhao , Yuanhua Wang , Guiqing Ding , Jinyun Ma , Xiaohan Wang , Linda Carrington , Harry Hong , Di Fu , Xiaodong Cheng
{"title":"Evaluating the efficacy of traditional Chinese medicine in treating COVID-19 and long-COVID symptoms: a combined meta-analysis and retrospective study","authors":"Jennifer Cruz , Yan Zhao , Yuanhua Wang , Guiqing Ding , Jinyun Ma , Xiaohan Wang , Linda Carrington , Harry Hong , Di Fu , Xiaodong Cheng","doi":"10.1016/j.hermed.2025.101012","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>The coronavirus disease 2019 (COVID-19) pandemic has brought attention to long-COVID, characterised by persistent symptoms such as fatigue, neurological problems, and musculoskeletal pain, posing a significant health challenge worldwide.</div></div><div><h3>Methods</h3><div>This study utilised both a meta-analysis and retrospective study methods to explore novel post-COVID treatment options, including assessing Traditional Chinese Medicine (TCM) efficacy against COVID-19 and investigating effective TCM prescriptions for long-COVID symptoms. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive database search identified randomised controlled trials (RCTs) evaluating TCM's impact on COVID-19. Statistical software synthesised RCT data, calculating effect sizes, risk ratios (RR), and mean differences (MD) with 95% confidence intervals (CI). The retrospective study examined clinical records of long-COVID patients treated with Qū Dú Qiáng Fèi Yī Hào Fāng Mod. 3 (QDQF1 Mod. 3), applying strict eligibility criteria and a Subjective Symptom Survey Questionnaire (SSSQ) over 5 weeks.</div></div><div><h3>Results</h3><div>The study demonstrated TCM's effectiveness in enhancing overall COVID-19 treatment rates and reducing neurological symptoms such as fatigue and muscle pain. QDQF1 Mod. 3 significantly alleviated long-COVID symptoms with an 85% reduction in fatigue and notable muscle pain relief, all statistically significant (<em>P</em> < 0.01).</div></div><div><h3>Conclusion</h3><div>TCM, particularly QDQF1 Mod. 3, emerges as a promising adjunctive therapy for managing both COVID-19 and long-COVID symptoms, supported by combined meta-analysis and retrospective study findings.</div></div><div><h3>Data and model availability statement</h3><div>Data will be made available on request.</div></div>","PeriodicalId":56077,"journal":{"name":"Journal of Herbal Medicine","volume":"52 ","pages":"Article 101012"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Herbal Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210803325000235","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INTEGRATIVE & COMPLEMENTARY MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
The coronavirus disease 2019 (COVID-19) pandemic has brought attention to long-COVID, characterised by persistent symptoms such as fatigue, neurological problems, and musculoskeletal pain, posing a significant health challenge worldwide.
Methods
This study utilised both a meta-analysis and retrospective study methods to explore novel post-COVID treatment options, including assessing Traditional Chinese Medicine (TCM) efficacy against COVID-19 and investigating effective TCM prescriptions for long-COVID symptoms. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive database search identified randomised controlled trials (RCTs) evaluating TCM's impact on COVID-19. Statistical software synthesised RCT data, calculating effect sizes, risk ratios (RR), and mean differences (MD) with 95% confidence intervals (CI). The retrospective study examined clinical records of long-COVID patients treated with Qū Dú Qiáng Fèi Yī Hào Fāng Mod. 3 (QDQF1 Mod. 3), applying strict eligibility criteria and a Subjective Symptom Survey Questionnaire (SSSQ) over 5 weeks.
Results
The study demonstrated TCM's effectiveness in enhancing overall COVID-19 treatment rates and reducing neurological symptoms such as fatigue and muscle pain. QDQF1 Mod. 3 significantly alleviated long-COVID symptoms with an 85% reduction in fatigue and notable muscle pain relief, all statistically significant (P < 0.01).
Conclusion
TCM, particularly QDQF1 Mod. 3, emerges as a promising adjunctive therapy for managing both COVID-19 and long-COVID symptoms, supported by combined meta-analysis and retrospective study findings.
期刊介绍:
The Journal of Herbal Medicine, the official journal of the National Institute of Medical Herbalists, is a peer reviewed journal which aims to serve its readers as an authoritative resource on the profession and practice of herbal medicine. The content areas of the journal reflect the interests of Medical Herbalists and other health professionals interested in the clinical and professional application of botanical medicines. The objective is to strengthen the research and educational base of herbal medicine with research papers in the form of case studies, original research articles and reviews, monographs, clinical trials and relevant in vitro studies. It also publishes policy statements, opinion pieces, book reviews, conference proceedings and profession related information such as pharmacovigilance reports providing an information source for not only the Herbal Practitioner but any Health professional with an interest in phytotherapy.