Background and aims Cocaine 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. Design Our 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. Setting The 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. Participants A 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. Findings Patients 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. Conclusions Ketamine appears to be a potential repurposed drug for treatment of cocaine use disorder.

Importance: The Centers for Disease Control and Prevention (CDC) announced in January 2023 that they were investigating a potential connection between administration of the Pfizer novel coronavirus disease-2019 (COVID-19) bivalent vaccine booster and ischemic stroke (IS). Objective: To explore the relationship between Pfizer bivalent booster administration and IS in older patients in the United States and compare it to other COVID-19 vaccines. Design: A retrospective cohort study was conducted to compare hazard of IS among patients aged 65 years or over who received the Pfizer bivalent, Moderna bivalent, or Pfizer/Moderna monovalent COVID-19 booster vaccine 1-21 and 22-42 days after vaccination. Setting: Patient data were collected from TriNetX, a cloud-based analytics platform that includes electronic health record data from over 90 million unique patients in the United States. Participants: Patients in the United States aged 65 years or over at the time of administration of a Pfizer bivalent (n = 43,216), Moderna bivalent (n = 4,267), or Pfizer/Moderna monovalent (n = 100,583) booster were included for analysis. Cohorts were propensity-score matched by demographic factors and risk factors for IS and severe COVID-19. Exposures: Pfizer bivalent, Moderna bivalent, or Pfizer/Moderna monovalent COVID-19 booster administration. Main outcomes: The hazard ratio (HR) and 95% confidence interval (CI) for IS in the cohorts at 1-21 and 22-42 days after administration. Results: After matching, the Pfizer bivalent cohort included 4,267 patients, with an average age of 73.7 years (44.43% male, 76.59% white). The Moderna bivalent cohort included 4,267 patients, with an average age of 74.0 years (44.08% male, 77.39% white). There was no significant difference in the hazard of IS encounters between the Pfizer bivalent versus Moderna bivalent cohorts at 1-21- or 22-42-days post-administration: HR = 0.59 (0.31, 1.11), 0.73 (0.33, 1.60). The hazard for IS was lower in the Pfizer bivalent cohort than in the Pfizer/Moderna monovalent cohort at both timepoints: HR = 0.24 (0.19, 0.29), 0.25 (0.20, 0.31). Conclusions and relevance: Older adults administered the Pfizer bivalent booster had similar hazard for IS encounters compared to those administered the Moderna bivalent booster vaccine, but lower hazard than those administered the Pfizer/Moderna monovalent boosters.

Background: Observational studies have shown inconsistent findings of the relationships between aspirin use and the risk of Alzheimer’s disease (AD). Objective: Since residual confounding and reverse causality were challenging issues inherent in observational studies, we conducted a 2-sample Mendelian randomization analysis (MR) to investigate whether aspirin use was causally associated with the risk of AD. Methods: We conducted 2-sample MR analyses utilizing summary genetic association statistics to estimate the potential causal relationship between aspirin use and AD. Single-nucleotide variants associated with aspirin use in a genome-wide association study (GWAS) of UK Biobank were considered as genetic proxies for aspirin use. The GWAS summary-level data of AD were derived from a meta-analysis of GWAS data from the International Genomics of Alzheimer’s Project (IGAP) stage I. Results: Univariable MR analysis based on these two large GWAS data sources showed that genetically proxied aspirin use was associated with a decreased risk of AD (Odds Ratio (OR): 0.87; 95%CI: 0.77–0.99). In multivariate MR analyses, the causal estimates remained significant after adjusting for chronic pain, inflammation, heart failure (OR = 0.88, 95%CI = 0.78–0.98), or stroke (OR = 0.87, 95%CI = 0.77–0.99), but was attenuated when adjusting for coronary heart disease, blood pressure, and blood lipids. Conclusion: Findings from this MR analysis suggest a genetic protective effect of aspirin use on AD, possibly influenced by coronary heart disease, blood pressure, and lipid levels.

Background: Currently there are no effective therapies to prevent or halt the development of Alzheimer’s disease (AD). Multiple risk factors are involved in AD, including ischemic stroke (IS). Aspirin is often prescribed following IS to prevent blood clot formation. Observational studies have shown inconsistent findings with respect to the relationship between aspirin use and the risk of AD. Objective: To investigate the relationship between aspirin therapy after IS and the new diagnosis of AD in elderly patients. Methods: This retrospective cohort study leveraged a large database that contains over 90 million electronic health records to compare the hazard rates of AD after IS in elderly patients prescribed aspirin versus those not prescribed aspirin after propensity-score matching for relevant confounders. Results: At 1, 3, and 5 years after first IS, elderly patients prescribed aspirin were less likely to develop AD than those not prescribed aspirin: Hazard Ratio = 0.78 [0.65,0.94], 0.8 1 [0.70,0.94], and 0.76 [0.70,0.92]. Conclusion: Our findings suggest that aspirin use may prevent AD in patients with IS, a subpopulation at high risk of developing the disease.