Database and Evaluation Methods for Chinese Herb-Drug Interactions

doi:10.19803/j.1672-8629.20240182

Abstract

Abstract: Objective To outline the commonly used databases and evaluation methods for Herb-Drug Interactions (HDIs) and explore ways to evaluate Chinese Herbal-Drug Interactions (CHDIs). Methods CNKI and PubMed were searched for related literature published from inception to March 19, 2024. The HDI database, causal inference, evidence grading and quality assessment, as well as methods for evaluation of clinical relevance were summarized. Results Clinical decision support (CDS) systems required all-round assessment of the quality grading of evidence, clinical relevance, risk factors and adverse reactions. The DIPS scale could be used to evaluate the causality between HDIs and adverse events, but there was no specific method for evaluating the quality of evidence and clinical relevance of HDIs. Conclusion The methods for evaluating the quality of drug interactions and the evaluation system for evidence of Chinese herbal medicine need to be consulted to establish an evidence evaluation system and CDS tool for CHDIs.

Key words: Chinese Herb-Drug Interaction, Database, Causal Inference, Evidence Quality, Clinical Correlation

CLC Number:

R969.2

SHEN Chen, ZHOU Xian, LIU Jianping. Database and Evaluation Methods for Chinese Herb-Drug Interactions[J]. Chinese Journal of Pharmacovigilance, 2025, 22(8): 902-908.

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URL: https://zgywjj.magtechjournal.com/EN/10.19803/j.1672-8629.20240182

https://zgywjj.magtechjournal.com/EN/Y2025/V22/I8/902

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