Abstract: Objective This study aimed to predict the target and pathway of antipsychotic drugs based on network pharmacology. Methods The protein-protein interaction network of antipsychotic drugs was constructed through Drugbank and STRING databases, and the core targets were screened out according to the degree values. The target genes were introduced into the DAVID analysis platform for GO analysis and KEGG pathway analysis. Finally, high-affinity drug-target combinations were screened out through the ChEMBL database, and their high expression sites in human body were investigated. Results A total of 139 targets were retrieved. Through enrichment analysis, it was found that the target genes were mainly concentrated in brain, liver, blood and hippocampus. Through the analysis of protein-protein interaction (PPI) network, a PPI network composed of 118 target genes with significant interaction was obtained. Through packet network analysis, 43 important paths were identified, and were divided into 5 subnetworks by cluster analysis. Through tissue receptor omics analysis, significant specific target-drug interactions of brain region were identified at dopamine receptor targets. Conclusion The therapeutic effect of antipsychotic drugs on patients has the characteristics of multi-component, multi-target and multi-pathway. This study provides a new idea for the biological explanation of the target of antipsychotic drugs and the study of the mechanism of action of antipsychotic drugs.