期刊文献+

基于古今文献和临床分析的中药配伍禁忌研究 被引量:18

Study on Chinese Medicine Incompatibility Based on the Analysis of Literature and Clinical Application
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摘要 中药安全性包括配伍禁忌问题日益受到社会广泛关切。围绕中药配伍禁忌在中医药现代化中的重要意义,立足于中医丰富的历史和实践经验,开展古今文献整理和临床情况系统分析,结合建立适宜于中药配伍禁忌数据挖掘的技术方法以及实验验证,阐释中药配伍禁忌相反关系特点,趋利避害的规避原则,一定配伍环境中反药同方应用特征。文献挖掘临床分析实验验证深化认识的配伍禁忌研究模式与方法对中药配伍禁忌理论具有一定借鉴意义。 The security of Chinese medicine has been increasingly concerned by the community.Centering on the significance of Chinese medicine incompatibility in the modernization of traditional Chinese medicine,the paper stood on abundant history and practical experience,analyzed the ancient and modern literature and clinical situation,combined with technology methods suitable for Chinese medicine incompatibility and experimental verification,clarified the properties of incompatibility,principle of using the advantages and avoiding the disadvantages,features of incompatible Chinese medicine in one prescription in certainly compatible environment.Literature retrieval clinical analysis experimental verification deepened understanding research mode has certain reference significance on Chinese medicine incompatibility.
作者 范欣生 段金廒 华浩明 瞿融 钱大玮 尚尔鑫 王崇骏 李文林 郭建明 FAN Xin-sheng;DUAN Jin-ao;HUA Hao-ming;QU Rong;QIAN Da-wei;SHANG Er-xin;WANG Chong-jun;LI Wen-lin;GUO Jian-ming(School of Basic Medicine,Nanjing University of Chinese Medicine,Nanjing,210023,China;Jiangsu Collaborative Innovation Center for Chinese Medicinal Resources Industrialization,Nanjing University of Chinese Medicine,Nanjing,210023,China;Department of Computer Science and Technology,Nanjing University,Nanjing,210023,China;Library,Nanjing University of Chinese Medicine,Nanjing,210023,China)
出处 《南京中医药大学学报》 CAS CSCD 北大核心 2019年第5期574-578,共5页 Journal of Nanjing University of Traditional Chinese Medicine
基金 国家重点基础研究发展计划(“973”计划)(2011Cb505301) 国家卫生计生委委托课题 国家自然科学基金(61375069) 江苏省科技支撑计划(BE2009142)
关键词 十八反 中药配伍禁忌 反药同方 宜忌关系 数据挖掘 eighteen antagonisms Chinese medicine incompatibility incompatible Chinese medicine in one prescription compatibility and incompatibility relation data mining
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