OBJECTIVE: To probe into the regularity and mechanism of traditional Chinese medicine in the treatment of osteoporosis based on data mining and network pharmacology. METHODS: The traditional Chinese medicine inheritance auxiliary platform（V2.5） was used to mine the medication rules of traditional Chinese medicine prescriptions for osteoporosis included in CNKI from 2015 to 2022. Network pharmacology method was used

TCMSP was adopted to search for compounds and therapeutic targets

GeneCards and other databases were used to screen osteoporosis targets and build the visual PPI network. Gene ontology（GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were performed on the key targets

component-disease-target network diagram was constructed. RESULTS: A total of 104 prescriptions were included

and the top 3 traditional Chinese medicines were Rehmannia glutinosa

Epimedium and Angelica sinensis; the drug pair with the highest frequency was “Rehmannia glutinosa → Epimedium”

and the drug pair with the highest correlation was “Yam → Rehmannia glutinosa”. Evolution obtained 9 recommended new recipes. A total of 67 active pharmaceutical ingredients

682 drug targets

2 374 disease targets and 109 intersection targets were screened out. GO analysis obtained 1 939 biological processes such as oxidative stress response and cell response to chemical stress. KEGG analysis obtained 159 signaling pathways including advanced glycation end products（AGE）-AGE receptor

tumor necrosis factor. CONCLUSIONS: Most of the traditional Chinese medicines for the treatment of osteoporosis are liver and kidney

muscle and bone strengthening drugs

which echo the basic pathogenesis of osteoporosis. Core drugs treat the disease through multi-component

multi-target and multi-pathway.