Background: Neuropathic pain (NP) is the main form of chronic pain, caused by damage to the nervous system and dysfunction. Here, we aimed at exploring the key molecules involved in NP pathogenesis via the identification of its regulatory lncRNA-miRNA-mRNA network.Methods: We downloaded NP-related data from public databases and identified differentially expressed long noncoding RNAs (lncRNAs), microRNAs (miRNAs) and mRNAs through differential gene expression analysis. The lncRNA and miRNA target predictions were performed and an integration of the three datasets was used for construction of the lncRNA-miRNA-mRNA network. Subsequently, functional enrichment analysis and protein-protein interaction (PPI) analysis were performed to explore the role and the interactions of the mRNAs. The drug prediction was performed based on the mRNAs in the lncRNA-miRNA-mRNA network. Results: A total of 8,251 differentially expressed mRNAs (4,193 upregulated and 4,058 downregulated), 959 differentially expressed miRNAs (455 upregulated and 504 downregulated), 2,848 differentially expressed lncRNAs (1,324 upregulated and 1,524 downregulated) were identified by integrating the results of the three microarray datasets. We found that differentially expressed mRNAs were mainly enriched in blood circulation, metal ion transmembrane transporter activity, and synaptic membrane. The most significant pathway of mRNAs in lncRNA-miRNA-mRNA network were GTPase, cell cycle, and platelet activation. A total of 1,200 drugs were predicted as potential therapeutics for NP based on the regulatory genes.Conclusion: Our study predicted drugs that may be effective for NP based on the NP regulatory network. This information will help further reveal the pathological mechanism of NP and provide more treatment options for NP patients.