Cited by 59Cannabis and Cannabinoid ResearchSubstance Abuse Treatment and OutcomesMental Health Treatment and Access

Cannabis and mental health: Prevalence of use and modes of cannabis administration by mental health status

Open access
Rup, Jennifer, Freeman, Tom P., Perlman, Chris, Hammond, David·2021·Addictive Behaviors

Abstract

Background Cannabis can have an adverse impact on some mental health conditions, while many consumers report using cannabis to manage or improve mental health. Little data exists on how patterns of cannabis use differ by mental health status. The current study examined the prevalence of cannabis use and modes of cannabis administration among consumers who experienced a mental health condition in the past 12-months.Methods Data came from the International Cannabis Policy Study (Wave 1). Online surveys were conducted from Aug - Oct 2018 with 25,747 respondents aged 16-65, recruited from commercial panels in Canada and the US. Multinomial and binary regression models examined differences in cannabis prevalence and use of nine cannabis product types among those with and without self-reported past 12-month experience of anxiety, depression, PTSD, bipolar disorder, and psychosis.Results Respondents with each of the five mental health conditions reported more frequent cannabis use than those without a mental health condition (p < .01). Past 12-month cannabis consumers who experienced mental health conditions were significantly more likely to use the most potent products (solid concentrates, THC vape oils, hash) (p < .05), with fewer differences for dried flower, edibles, and other forms. Patterns of use were similar across specific mental health conditions, with some differences among respondents reporting psychosis and bipolar disorder.Conclusion Individuals experiencing mental health conditions report more frequent cannabis use and use of more potent product types. These findings highlight the need to target use of specific high potency products in prevention, treatment, and harm reduction among these populations.

Integrity signals

Registry

Crossref · 10.1016/j.addbeh.2021.106991

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cites

Flagged first, then by citations

1 of the 31 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Rup, J., Freeman, T. P., Perlman, C., & Hammond, D.
Affiliations
  • University of Waterloo (CA)
  • University of Bath (GB)
Corresponding author
Hammond, David
Venue
Addictive Behaviors
Publisher
Elsevier BV
Published
2021-10
Volume
121
Pages
106991
ISSN
0306-4603 (ISSN-L)
OpenAlex
W3162154620
Cited by
59
References
31
Citations by year
2026: 11 · 2025: 16 · 2024: 13 · 2023: 10 · 2022: 9
FWCI
4.69
Type
journal article
Language
en
Locations
  • Addictive Behaviors (publishedVersion)
  • PubMed (publishedVersion)
  • Pure (University of Bath) (publishedVersion, cc-by-nc-nd)
Funders
Canadian Institutes of Health Research
Topics
  • Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
cannabis use, mental health, cannabis potency, cannabis concentrates, hash, dried flowers, edibles, anxiety, depression, post-traumatic stress disorder, bipolar disorder, psychosis, harm reduction, cannabis policy
MeSH terms
Canada, Cannabis, Health Status, Humans, Mental Health, Prevalence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review