Cannabis use is associated with a lower likelihood of presence of HIV drug resistance mutations in a retrospective cohort of adults with HIV
Year: 2025
Type: article
Abstract: Objectives: A significant clinical concern in the era of Pre-Exposure Prophylaxis (PrEP) is the increased incidence of HIV Anti-Retroviral Drug Resistance Mutations (ARV-DRM). Previous research has indicated that there is an association between substance use and failed viral suppression, which can lead to ARV-DRM. The goal of this retrospective study was to investigate whether substance use as determined by at least one positive urinalysis screen is associated with increased/decreased odds of having a ARV-DRM. Methods: This study used firth logistic regression analyses of data retrieved from the National NeuroAIDS Tissue Consortium Data Coordinating Center to examine the relationship between substance use and ARV-DRM. The dataset analyzed 614 participants with the following criteria: HIV+ status, at least one paired plasma and cerebrospinal fluid (CSF) viral load measurement, at least one urinalysis of substance use, at least 18 years of age, and analysis of DRM in CSF/Plasma. Results: Cannabis use was a significant predictor of ARV-DRM and was associated with a lower odds of having ARV-DRM (odds ratio=0.189), after accounting for demographic variables and the interaction between polysubstance use and cannabis use. A significant negative relationship was observed between a cannabis positive test and high viremia (>1,000 copies/mL) but not between a cannabis positive test and CSF Escape (viral load CSF>viral load plasma). Conclusions: The above results may suggest an immunomodulatory role for cannabis that impacts the propensity for ARV-DRM. These findings could incentivize future research to further investigate effects of cannabis use on the development of HIV ARV-DRM.
Authors: Jonathan F. Hale, Shellynea Reynolds, Heather R. Kates, Roberto D. Palella, Mohammed M. Benmassaoud, Kelly A. Smith, Daohai Yu, Servio H. Ramirez, Allison M. Andrews
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $1,695
OpenAlex ID: W4407257273
