Aims: Several reports suggest that illicit drug use may be a major cause of acute myocardial infarction (AMI) independently of smoking habits and associated with a poorer prognosis. The aim of our study was to evaluate the impact of illicit drug use on (i) the risk of AMI and (ii) its prognosis.
Methods And Results: This French longitudinal cohort study was based on the administrative hospital-discharge database from the entire population. First, we collected data for all patients admitted in hospital in 2013 with at least 5 years of follow-up to identify potential predictors of AMI. In a second phase, we collected data for all patients admitted with AMI from January 2010 to December 2018. We identified patients with a history of illicit drug use (cannabis, cocaine, or opioid). These patients were matched with patients without illicit drug use to assess their prognosis. In 2013, 3 381 472 patients were hospitalized with a mean follow-up of 4.7 ± 1.8 years. In multivariable analysis, among all drugs under evaluation, only cannabis use was significantly associated with a higher risk of AMI [HR 1.32 (95% CI 1.09-1.59), P = 0.004]. Between January 2010 and December 2018, we then identified 738 899 AMI patients. Among these patients, 3827 (0.5%) had a known history of illicit drug use. These patients were younger, most often male and had less comorbidities. After 1:1 propensity score matching, during a mean follow-up of 1.9 ± 2.3 years, there was no significant difference between patients without illicit drug use and patients with illicit drug use regarding all-cause death, cardiovascular death, stroke, or heart failure.
Conclusion: In a large and systematic nationwide analysis, cannabis use was an independent risk factor for the incidence of AMI. However, the prognosis of illicit drug users presenting with AMI was similar to patients without illicit drug use.
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http://dx.doi.org/10.1093/ehjacc/zuab073 | DOI Listing |
BMJ Open
January 2025
The University of British Columbia, Vancouver, British Columbia, Canada
Objectives: This study evaluates the prevalence and correlates of opioid agonist therapy (OAT) discontinuation across British Columbia (BC), using a sample of individuals who used substances and accessed harm reduction sites.
Design: This study uses data from the 2019 cross-sectional Harm Reduction Client Survey (HRCS).
Setting: The 2019 survey was administered from October to December at 22 harm reduction supply distribution sites across the 5 Regional Health Authorities of BC.
Adv Clin Exp Med
January 2025
Institute of Human Anatomy, Department of Neurosciences, University of Padova, Italy.
The concept of "gender" refers to the socially constructed characteristics that define feminine or masculine behavior, which are constantly changing and can influence access to healthcare and patterns of help-seeking. These factors significantly impact forensic toxicology, a key area within the medicolegal landscape, forcing the adoption of a gender-sensitive approach to better understand the differing impacts of substances on men and women. Research indicates significant disparities in drug use between genders; men are more likely to abuse alcohol and illicit drugs, while women tend to use prescription medications.
View Article and Find Full Text PDFJ Viral Hepat
February 2025
Statistics, Modelling and Economics Department, UK Health Security Agency, London, UK.
Chronic hepatitis C virus (HCV) infection is associated with significant morbidity, mortality and health economic burden. Over 90% of HCV cases in England occur in people who inject drugs (PWID). Current treatments for HCV are effective but do not protect against reinfection.
View Article and Find Full Text PDFJ Stud Alcohol Drugs
January 2025
Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109.
Objective: Racial and ethnic discrimination is a risk factor for substance use among United States adults. However, whether discrimination is associated with substance use disorders (SUDs) overall and by race and ethnicity is less understood.
Methods: We used data from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n=35,355) and defined past-year discrimination as a summary scale (range: 0-4).
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