ArticleAddiction (Abingdon, England)2023
Repurposing ketamine to treat cocaine use disorder: integration of artificial intelligence-based prediction, expert evaluation, clinical corroboration and mechanism of action analyses.
Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- The landscape of the methodology in drug repurposing using human genomic data: a systematic review.Briefings in bioinformatics · 2024Pooled it
- PGx-BasedCurrent neuropharmacology · 2026Article
- A Systematic Review and Meta-Analysis Investigating the Efficacy of Various Psychedelic Drugs for the Treatment of Substance Use Disorder.Healthcare (Basel, Switzerland) · 2025Review
- Review
- Artificial intelligence approaches for anti-addiction drug discovery.Digital discovery · 2025Review
- Artificial intelligence-based drug repurposing with electronic health record clinical corroboration: A case for ketamine as a potential treatment for amphetamine-type stimulant use disorder.Addiction (Abingdon, England) · 2025Article
- A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX.Frontiers in pharmacology · 2025Review
- Article
- Associations between psychedelic use and adverse outcomes in substance use disorders: a real-world EHR-based cohort study.Frontiers in psychiatry · 2025Article
- Reshaping Anesthesia with Artificial Intelligence: From Concept to Reality.Anesthesia and critical care (Houston, Tex.) · 2025Article
- Sex-Specific ADNP/NAP (Davunetide) Regulation of Cocaine-Induced Plasticity.Journal of molecular neuroscience : MN · 2024Article
- Association of GLP-1 Receptor Agonists and Hepatocellular Carcinoma Incidence and Hepatic Decompensation in Patients With Type 2 Diabetes.Gastroenterology · 2024Article
- Feasibility of using real-world data to emulate substance use disorder clinical trials: a cross-sectional study.BMC medical research methodology · 2024Article
- Association of semaglutide with reduced incidence and relapse of cannabis use disorder in real-world populations: a retrospective cohort study.Molecular psychiatry · 2024Article
- Association of Semaglutide With Tobacco Use Disorder in Patients With Type 2 Diabetes : Target Trial Emulation Using Real-World Data.Annals of internal medicine · 2024Article
- Glucagon-Like Peptide 1 Receptor Agonists and 13 Obesity-Associated Cancers in Patients With Type 2 Diabetes.JAMA network open · 2024 · on this mapArticle
- Association of semaglutide with risk of suicidal ideation in a real-world cohort.Nature medicine · 2024Article
- Association of adverse cardiovascular events with gabapentin and pregabalin among patients with fibromyalgia.PloS one · 2024Article
- Potential effect of antidepressants on remission from cocaine use disorder - A nationwide matched retrospective cohort study.Drug and alcohol dependence · 2023Article
- Association of COVID-19 with respiratory syncytial virus (RSV) infections in children aged 0-5 years in the USA in 2022: a multicentre retrospective cohort study.Family medicine and community health · 2023Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
aimsCocaine use disorder (CUD) is a significant public health issue for which there is no Food and Drug Administration (FDA) approved medication. Drug repurposing looks for new cost-effective uses of approved drugs. This study presents an integrated strategy to identify repurposed FDA-approved drugs for CUD treatment.
designOur drug repurposing strategy combines artificial intelligence (AI)-based drug prediction, expert panel review, clinical corroboration and mechanisms of action analysis being implemented in the National Drug Abuse Treatment Clinical Trials Network (CTN). Based on AI-based prediction and expert knowledge, ketamine was ranked as the top candidate for clinical corroboration via electronic health record (EHR) evaluation of CUD patient cohorts prescribed ketamine for anesthesia or depression compared with matched controls who received non-ketamine anesthesia or antidepressants/midazolam. Genetic and pathway enrichment analyses were performed to understand ketamine's potential mechanisms of action in the context of CUD.
settingThe study utilized TriNetX to access EHRs from more than 90 million patients world-wide. Genetic- and functional-level analyses used DisGeNet, Search Tool for Interactions of Chemicals and Kyoto Encyclopedia of Genes and Genomes databases.
participantsA total of 7742 CUD patients who received anesthesia (3871 ketamine-exposed and 3871 anesthetic-controlled) and 7910 CUD patients with depression (3955 ketamine-exposed and 3955 antidepressant-controlled) were identified after propensity score-matching. MEASUREMENTS: EHR analysis outcome was a CUD remission diagnosis within 1 year of drug prescription.
findingsPatients with CUD prescribed ketamine for anesthesia displayed a significantly higher rate of CUD remission compared with matched individuals prescribed other anesthetics [hazard ratio (HR) = 1.98, 95% confidence interval (CI) = 1.42-2.78]. Similarly, CUD patients prescribed ketamine for depression evidenced a significantly higher CUD remission ratio compared with matched patients prescribed antidepressants or midazolam (HR = 4.39, 95% CI = 2.89-6.68). The mechanism of action analysis revealed that ketamine directly targets multiple CUD-associated genes (BDNF, CNR1, DRD2, GABRA2, GABRB3, GAD1, OPRK1, OPRM1, SLC6A3, SLC6A4) and pathways implicated in neuroactive ligand-receptor interaction, cAMP signaling and cocaine abuse/dependence.
conclusionsKetamine appears to be a potential repurposed drug for treatment of cocaine use disorder.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.