Evidence Hub

Cardiovascular risk associated with the use of cannabis and cannabinoids: a systematic review and meta-analysis

W. Storck, Meyer Elbaz, C. Vindis, Amélia Déguilhem, M. Lapeyre-Mestre, Émilie Jouanjus

Heart, 2025

40 citations

Abstract

Background Awareness has recently risen about the potential associated risks to the cardiovascular health of cannabis users. The objective was to evaluate the possible association between major adverse cardiovascular events (MACE) and the use of cannabis or cannabinoids. Methods Original pharmacoepidemiological studies providing risk estimates on cannabis-related MACE (ie, cardiovascular death, non-fatal acute coronary syndrome (ACS) including myocardial infarction (MI) or non-fatal stroke) published from 1 January 2016 to 31 January 2023 were included in the systematic review exploring PubMed, Web of Science and Scopus (last search: 20 September 2023). Design, duration, baseline characteristics, exposure, inclusion criteria, sample size, effect size and confusing factors, including exposure to psychoactive substances, were extracted. Study quality was assessed using the ROBINS-E (risk of bias in non-randomised studies—of exposures) tool. In the meta-analysis, adjusted effect estimates and their 95% CIs were pooled using a DerSimonian and Laird random effect model with inverse variance weighting based on the type of outcome (PROSPERO: CRD42023401401). Results Overall, 24 articles were included from 3012 initial records, including 17 cross-sectional studies, 6 cohort studies and 1 case-control study. Exposure corresponded to the use of cannabis in all studies, with one focused on medical cannabis. The estimated risk ratio (RR) was 1.29 (95% CI 1.05 to 1.59) for ACS, 1.20…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free