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Open Access Issue
Theoretical innovation and practical research of the pharmacovigilance system for traditional Chinese medicine
Journal of Beijing University of Traditional Chinese Medicine 2026, 49(3): 319-324
Published: 10 December 2025
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With the increasingly extensive application of traditional Chinese medicine (TCM), its safety issues have drawn extensive attention. Establishing a pharmacovigilance system that combines the characteristics of TCM with modern scientific connotations is an urgent task. After over two decades of systematic research, our team at Beijing University of Chinese Medicine has established a distinctive TCM pharmacovigilance system, integrating four key dimensions, including theoretical innovation, practical strategies, technological platforms, and translational application. The team has systematically constructed the theoretical framework of TCM pharmacovigilance, clearly defining its cognitive foundation, theoretical characteristics, core academic content, as well as its connotation and extension. And they put forward a practical strategy of "cognition, application, prevention, and rescue of drug toxicity" for TCM pharmacovigilance, and constructed a "four-dimensional integrated" pharmacovigilance technology platform for TCM by integrating modern technologies such as big data and artificial intelligence. Ultimately, through the multi-dimensional collaborative transformation of "government-industry-healthcare-education-research," the theoretical research findings had been effectively translated into practical applications. The establishment of the system builds upon classical traditions while aligning with international standards, creating an integrated safety assurance framework that spans all TCM stages-from research and development, through production and distribution, to clinical application. It enables comprehensive risk management across the entire TCM life cycle, fills a critical gap in current research, and provides robust support for the safe and rational use of TCM, as well as for the inheritance and innovative advancement of TCM as a discipline.

Open Access Case Report Issue
Chinese herbal medicine for seborrheic dermatitis complicated by allergy to topical agent: A case report
Journal of Traditional Chinese Medical Sciences 2017, 4(4): 380-383
Published: 02 January 2018
Abstract PDF (331.6 KB) Collect
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Seborrheic dermatitis is a common inflammatory dermatosis. Conventional medical treatments include corticosteroids, calcineurin inhibitors, and other therapeutic modalities. However, the use of the conventional medicine sometimes is limited by adverse effects, such as allergic reaction. We report the case of a 13-year-old girl with seborrheic dermatitis, who was allergic to topical agents and was cured successfully with Chinese herbal medicine. Her Chinese medical syndrome pattern was diagnosed as wind-heat invading the skin and herbs with wind-dispelling and heat-clearing properties were prescribed. Chinese herbal medicine is an alternative modality that can be considered for seborrheic dermatitis, in particular for cases complicated by adverse reactions from conventional topical agents.

Open Access Original Article Issue
A study of TCM master Yan Zhenghua’s medication rule in prescriptions for digestive system diseases based on Apriori and complex system entropy cluster
Journal of Traditional Chinese Medical Sciences 2015, 2(4): 241-247
Published: 30 March 2016
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Objective

To explore Yan Zhenghua’s drug selection rule for treating digestive system diseases using data mining.

Methods

The 609 medical records of digestive system diseases treated by Yan Zhenghua were collected and the herbs in these recipes were examined using a data mining technique. The correlativity between herb pairs and association rules was studied using an Apriori algorithm and the correlativity among multi-herbs was studied using a complex system entropy cluster technique.

Results

Yan Zhenghua’s treatment of digestive system diseases featured 15 herbs prescribed at least 159 times each, 22 herb pairs prescribed at least 155 times each, and eight frequently used herb core combinations. A confidence greater than 0.91 and a support level greater than 20% were achieved using the modified mutual information method.

Conclusion

The data mining results conformed to findings from clinical practice. The data mining method is a valuable technique with which to study the experience of famous, elderly traditional Chinese medicine physicians.

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