Herbal Formula Science (대한한의학방제학회지)

The Korean Medicine Society for the Herbal Formula Study (대한한의학방제학회)
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Analysis of Research Trends on Interactions between Herbal Formula and Conventional Drugs Using Papers from PubMed

PubMed 수록 논문을 활용한 한약 처방과 양약 상호작용에 관한 연구 동향 분석

  • Sang Jun Yea (Korea Medicine Data Division, Korea Institute of Oriental Medicine)
  • 예상준 (한국한의학연구원 한의약데이터부)
  • Received : 2024.07.31
  • Accepted : 2024.08.16
  • Published : 2024.08.31
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Abstract

Objectives : Herbal formula consist of multiple herbs, which can potentially interact with conventional drugs. If these interactions are not properly understood, they may reduce treatment efficacy or cause unexpected side effects. Thus, this study collected and analyzed papers on herbal formula and conventional drug interactions from PubMed to analyze various research trends. Methods : To analyze research trends on herbal formula and drug interactions, we first created search queries using a dictionary of herbal formula terms and collected related papers from PubMed using the Entrez API. The PubTator API was applied to identify compound names in the abstracts, recognizing compounds registered in the DrugBank as conventional drugs. Sentences describing interactions between herbal formulas and drugs were extracted using pattern matching, and relevant papers were selected. Trends were then analyzed by year, country, major formulas, major drugs, and interaction networks. Results : Yearly analysis showed a gradual increase in paper counts with a significant rise after 2010. Country analysis revealed that China published the most papers (53), followed by Japan (19) and South Korea (8). formula analysis identified 'sosiho-tang' and 'siryung-tang' as the most frequently mentioned (7 times each). Drug analysis showed '5-fluorouracil', 'acetaminophen', 'entecavir', and 'streptozotocin' were the most frequently mentioned (4 times each). Network analysis revealed 'sosiho-tang and tolbutamide' and 'siryung-tang and prednisolone' as the most frequently, mentioned interactions (3 times each). Disease analysis indicated 'urogenital diseases' were the most discussed (32 mentions), Followed by 'pathological conditions, signs, and symptoms' and 'digestive system diseases' (25 mentions each). Conclusions : Analyzing research trends on herbal formula and conventional drug interactions provides basic data for subsequent research, aiming to reduce side effects and enhance treatment efficacy in clinical settings.

Keywords

Acknowledgement

본 연구는 한국한의학연구원 'AI 한의사 개발을 위한 ICT 기반 한의 중점 질환 진단 예측 기술 개발(KSN1824130)'과제와 'AI 한의사 개발을 위한 임상 빅데이터 수집 및 서비스 플랫폼 구축(KSN1923111)'의 지원을 받아 수행되었습니다.

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