Objective: To use the network pharmacology method to screen the effective components and targets of Prunella vulgaris to treat Graves disease, and to explore the relationship between its components and targets and diseases. Methods: Collect and screen active components and targets of Prunella vulgaris through TCMSP; use GeneCards and DisGeNET databases to screen disease-related genes of Graves disease, construct a "drug-component-disease-target" network and screen The core target of Prunella vulgaris to treat Graves disease. Then further protein interaction network analysis (PPI), GO biological function annotation, KEGG pathway analysis and molecular docking verification. Results: The ten active components of Prunella vulgaris can control 57 Graves' disease targets such as PPARG, PIK3CG, CASP9, AKT1, TNF, ICAM1, BCL2, BAX, etc., affecting the inflammatory response, negative regulation of apoptosis and other related organisms. Academic process and TNF signaling pathway, HIF-1 signaling pathway, PI3K-Akt signaling pathway and cancer-related pathways and other related signaling pathways, thus playing a role in the treatment of Graves disease. Conclusion: This study initially verified the target and mode of action of Prunella vulgaris for Graves disease, which can lay the foundation for further revealing its clinical mechanism of action.