Drug addiction is a complex brain disease closely related to the expression and methylation of many genes. Differential genes can influence addiction, and some key differential genes may have a significant impact on the occurrence and development of addiction. Nowadays, data on addictive drugs is widely available. To our knowledge, there are very few databases on genes related to addictive drugs, and existing addiction related databases are not available.1,2 Therefore, it is necessary to analyze existing data on drug addiction, identify genes that play a crucial role in addiction, and establish a database to store and display these results. To meet this requirement, we analyzed and integrated the results of 56 datasets from 10 addictive drugs to develop DARG (Drug Addiction Related Gene Database) (https://darg-database.cn/). Through various search modules, corresponding analysis results can be obtained, including differential analysis results, protein–protein interaction (PPI) network analysis results, centrality analysis results, enrichment analysis results, gene–drug correlation analysis results, etc. Meanwhile, DARG provides online analysis functionality, allowing users to upload a gene list to obtain key genes within these genes. DARG will be a valuable resource for studying addiction related genes, providing great convenience for researchers and clinical doctors.