Impact of cannabis use on health outcomes and prescription benzodiazepine use
Singh, N.; Dai, Y.; Wilkinson, S.; Rhee, T. G.; RADHAKRISHNAN, R.
Show abstract
ObjectiveWith the rising misuse of benzodiazepine (BZD) and associated overdose deaths, cannabis has been touted as a potential substitute with proposed benefit of better health outcomes. This two-year retrospective analysis examined whether cannabis use among BZD users was associated with changes in outcomes of (1) all-cause mortality, (2) hospitalizations, (3) emergency department (ED) visits, and (4) whether it demonstrated BZD-sparing effects on prescription quantity over time. MethodsUsing data from Yale New Haven Health System, we conducted a retrospective, longitudinal cohort study among BZD users. Cannabis use was the primary exposure, with BZD users without cannabis exposure as controls. Using inverse probability of treatment weighting and propensity score matching techniques, cohorts were balanced at baseline adjusting for medical comorbidities, socioeconomic status and other clinical factors. Kaplan-Meier curves and Cox proportional hazard models were examined with four outcomes of interest. ResultsThe sample included 1,026 patients with 60.3% females and mean age was 54.2. There was no significant effect of cannabis use on BZD quantity. Cannabis use was not significantly associated with all-cause mortality, hospitalization, or ED visits. In exploratory analysis, medical cannabis users had a lower risk of all-cause mortality but greater risk for hospitalizations among those aged < 50 years. ConclusionIn this longitudinal cohort study, cannabis use was not significantly associated with all-cause mortality, hospitalization and ED visits, or benzodiazepine dose reduction. Our results do not support a benzodiazepine-sparing effect for cannabis use.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A large Australian longitudinal cohort registry demonstrates sustained safety and efficacy of oral medicinal cannabis for at least two years 95%
- Trace amine-associated receptor gene polymorphism increases drug craving 94%
- Sex and Gender Influences on Problematic Cannabis Use and Cannabis Use Disorder: A Scoping Review Protocol 94%
Similar papers in this journal
- Polydrug overdose mortality caused by synthetic opioids and stimulants: Current sex- and age- specific trajectories in United States national data for 2018-2024 93%
- Dose-response relationships of LSD-induced subjective experiences in humans 92%
- Δ9-Tetrahydrocannabinol (THC) impairs visual working memory performance 92%
Similar papers in this journal
- Trends and Patterns of Opioid Epidemic: A Large-Scale Retrospective Study of Hospital Visits with Opioid Poisoning in New York State, 2010-2016 93%
- Pharmacokinetics and Central Accumulation of Delta-9-Tetrahydrocannabinol (THC) and its Bioactive Metabolites are Influenced by Route of Administration and Sex 92%
- Voluntary alcohol intake alters the motivation to seek intravenous oxycodone and neuronal activation during the reinstatement of oxycodone and sucrose seeking 91%
Similar papers in this journal
- Diagnosis and treatment of opioid-related disorders in a South African private sector medical insurance scheme: a cohort study 93%
- Using synthetic controls to estimate the population-level effects of Ontario's recently implemented overdose prevention sites and consumption and treatment services 92%
- Changes in Characteristics of Opioid Overdose Death Trends during the COVID-19 Pandemic 92%
Similar papers in this journal
- Changes in injecting versus smoking heroin, fentanyl, and methamphetamine among people who inject drugs in San Diego, California, 2020 to 2023 95%
- Agreement between DSM-IV and DSM-5 measures of substance use disorders in a sample of adult substance users 94%
- Drug Overdose Mortality Rates by Educational Attainment and Sex for Adults Aged 25 to 64 in the United States Before and During the COVID-19 Pandemic, 2015 to 2021 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.