中国药物警戒 ›› 2019, Vol. 16 ›› Issue (6): 347-351.

• 安全性评价与合理用药 • 上一篇    下一篇

《本草纲目》药物识毒警戒思想研究

石琳1,2, 刘欣1,2, 张冰1,2,*   

  1. 1北京中医药大学,北京 100029;
    2北京中医药大学中药药物警戒与合理用药研究中心,北京 100029
  • 收稿日期:2019-07-12 修回日期:2019-07-12 出版日期:2019-06-20 发布日期:2019-07-12
  • 通讯作者: 张冰,女,教授,主任医师·博导,中药药物警戒与合理用药研究、中药药性研究。E-mail：zhangbing6@263.net
  • 作者简介:石琳,女,博士,副研究员,中药药物警戒与合理用药研究。
  • 基金资助:
    国家自然科学基金（No.81874349）：辛热类有毒中药风险-效益阈与效毒机制研究

Study on Recognition of Drug Toxicity in Pharmacovigilance Thought of the Compendium of Materia Medica

SHI Lin1,2, LIU Xin1,2, ZHANG Bing1,2,*   

  1. 1 Beijing University of Chinese Medicine, Beijing 100029, China;
    2 Center for Pharmacovigilance and Rational Use of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
  • Received:2019-07-12 Revised:2019-07-12 Online:2019-06-20 Published:2019-07-12

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摘要： 目的 从药物警戒的角度对《本草纲目》进行研究,挖掘整理其中蕴含的中药药物警戒思想和实践经验。方法 用传统文献和数据挖掘的研究方法,对《本草纲目》190余万字文献内容进分类整理,重点总结归纳其关于识毒的思想内涵,并且对毒性药物最多的草部药进行药性与毒性的相关性研究。结果 《本草纲目》识毒警戒思想集中体现在对药性的认识上,文献集中在“气味”条目之下,以探讨药物毒性和相互关系为核心。结论 《本草纲目》对药性的认识十分重视药物的毒性,且强调药物之间的相互作用。以草部药物为对象,应用数据挖掘中关联规则算法对数据进行分析,发现辛味与“有毒”密切相关,苦寒的药物更容易和其他药物发生禁忌反恶解毒等相互作用。

关键词: 《本草纲目》, 识毒, 警戒思想

Abstract: Objective To study the Compendium of Materia Medica from the perspective of pharmacovigilance, mine and reorganize pharmacovigilance thought of Chinese medicine and practical experiences in it. Methods By using traditional literature and data mining research Methods, the contents of more than 1.9 million words in the Compendium of Materia Medica were classified and reorganized. We summarized the ideological connotation of recognition of drug toxicity, and researched the correlation between drug property and toxicity in grass classification, which has the most toxic drugs. Results Recognition of drug toxicity in pharmacovigilance thought of the Compendium of Materia Medica is mainly reflected in understanding of drug property, and the literatures are concentrated at QI WEI entry. The core of the pharmacovigilance thought is to explore the toxicity and interrelationship of drugs. Conclusion Understanding of drug property in the Compendium of Materia Medica pays great attention to drug toxicity and emphasizes the interaction between drugs. We used association rule algorithms in data mining to analyze the drugs in grass classification, it was found that XIN WEI was closely related to toxicity, and drugs of KU Han were easier experienced interactions such as JIN JI FAN WU and detoxification with other drugs.

Key words: Compendium of Materia Medica, recognition of drug toxicity, pharmacovigilance thought

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