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Objective: To study the mechanism of ephedra in treating allergic rhinitis by network pharmacology. Methods: the chemical components and corresponding targets of ephedra were searched and screened by TCMSP database. With “allergic rhinitis ”as the key word, disease-related genes were searched in GeneCards and OMIM database. Using Venny2.1.0 mapping, Venn diagram and drug - disease common targets, network visualization software Cytoscape 3.6.1 track production elements - targets - disease network diagram, String database build their proteins interact with each other (PPI), and using R language to do gene ontology (GO) functional enrichment and pathway analysis and kyoto encyclopedia of genes and genome (KEGG) pathway enrichment analysis. Results: ephedrine was screened for 136 efficacy components and 88 common targets, and was predicted to intervene and regulate allergic rhinitis through AGE-RAGE signaling pathway in diabetic complications, Fluid shear stress and atherosclerosis, IL-17 signaling pathway, TNF signaling pathway and other signaling pathways in diabetic complications. Conclusion: preliminary prediction of the target and pathway of ephedra in the treatment of allergic rhinitis through network pharmacology can provide direction and evidence for the next experiment and clinic.