Purpose/Significance To conduct topic mining of literatures in the field of drug repositioning, and to reveal its interdisciplinary statas, research topic status and development venation. Method/Process Firstly, the literature support disciplines are determined based on the Web of Science subject classification system, and the drug repositioning research support discipline groups are formed through the co-occurrence cluster analysis of disciplines. Secondly, the interdisciplinary literatures are defined, and the development stages are divided. The KeyBERT+DTM model is used to mine research topics. Thirdly, the “topic-support subject group” association network is constructed to analyze the support degree and topic focus of the subject groups for the research in the field. Finally, the evolution trend of interdisciplinary topics is analyzed based on continuity and difference.Result/Conclusion The research on drug repositioning has formed a compound knowledge association network with 4 discipline groups as the core and 9 interdisciplinary topics as the growth poles. The research topic develops nonlinearly over time and tends to be balanced.