[1]雷 飘,宋庆红,何俊辉.基于可视化分析中药相互作用的国内热点及发展趋势[J].医学信息,2024,37(08):17-22.[doi:10.3969/j.issn.1006-1959.2024.08.003]
　LEI Piao,SONG Qing-hong,HE Jun-hui.Domestic Hot Spots and Development Trends on Interaction of Traditional Chinese Medicine Based on Visual Analysis[J].Journal of Medical Information,2024,37(08):17-22.[doi:10.3969/j.issn.1006-1959.2024.08.003]
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基于可视化分析中药相互作用的国内热点及发展趋势()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
37卷
期数:
2024年08期
页码:
17-22
栏目:
中医药信息学
出版日期:
2024-04-15

文章信息/Info

Title:
Domestic Hot Spots and Development Trends on Interaction of Traditional Chinese Medicine Based on Visual Analysis
文章编号:
1006-1959（2024）08-0017-06
作者:
雷 飘; 宋庆红; 何俊辉
（正安县人民医院药剂科1，中医科2，贵州 正安 563499）
Author(s):
LEI Piao; SONG Qing-hong; HE Jun-hui
(Department of Pharmacy1,Department of Traditional Chinese Medicine2,Zheng’an County People’s Hospital,Zheng’an 563499,Guizhou,China)
关键词:
中药相互作用; CiteSpace知识图谱; 热点; 发展趋势
Keywords:
Interactions of traditional Chinese medicine; CiteSpace knowledge map; Hotspot; Development trend
分类号:
R285
DOI:
10.3969/j.issn.1006-1959.2024.08.003
文献标志码:
A
摘要:
目的 分析当前中药相互作用研究的热点和趋势，了解研究领域的发展动态和重点方向，为中药相互作用研究提供指导和参考。方法 下载中国知网2013年1月-2023年6月关于中药相互作用的文章，进行去重、筛选、标准化处理后，利用CiteSpace软件对作者、机构、关键词等进行可视化分析。结果 共纳入202篇中文文献，2013-2016年发文量较为稳定，2017年略有降低，2019-2021年较2018年升高，近两年呈下降趋势；段金廒、吴勉华、刘雪锋等是发文量较多的作者，作者之间合作相对紧密，形成多个研究团队；发文机构显示，南京中医药大学、北京中医药大学和中国人民解放军军事医学科学院发文量排列较前；主要的关键词有相互作用、中药、肠道菌群、药代动力学、合理用药、细胞色素p450等，近几年的研究热点为肠道菌群、中药注射剂、转运体、合理用药等。结论 预测未来中药相互作用的研究主要集中于发生机制的研究，以分子对接技术及网络药理学技术等现代化技术为研究手段，通过转运体、肠道菌群等机制进行研究，阐明药物产生相互作用的机制，保障中药的合理用药。
Abstract:
Objective To analyze the hotspots and trends of the current research on the interaction of traditional Chinese medicine, understand the development trends and key directions of the research field, and provide guidance and reference for the research on the interaction of traditional Chinese medicine.Methods The articles on the interaction of traditional Chinese medicine from January, 2013 to June 2023 in CNKI were downloaded. After deduplication, screening and standardization, CiteSpace software was used to visualize the authors, institutions and keywords.Results A total of 202 Chinese articles were included. The number of articles published in 2013-2016 was relatively stable, slightly decreased in 2017, increased in 2019-2021 compared with 2018, and showed a downward trend in the past two years. DUAN Jin-ao, WU Mian-hua and LIU Xue-feng were the authors with a large number of articles. The cooperation between the authors was relatively close, forming a number of research teams. The publishing institutions showed that Nanjing University of Chinese Medicine, Beijing University of Chinese Medicine and Academy of Military Medical Sciences had the highest number of publications. The main keywords were interaction, traditional Chinese medicine, intestinal flora, pharmacokinetics, rational drug use, cytochrome p450, etc. In recent years, the research hotspots were intestinal flora, traditional Chinese medicine injection, transporter, rational drug use, etc.Conclusion The research on predicting the interaction of traditional Chinese medicine in the future mainly focuses on the study of the mechanism of occurrence. Modern technologies such as molecular docking technology and network pharmacology technology are used as research methods to study the mechanisms of transporters and intestinal flora, clarify the mechanism of drug interaction, and ensure the rational use of traditional Chinese medicine.

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更新日期/Last Update: 1900-01-01