Evidence map›Paper›PMID 42050738›Full record

ArticleJournal of cannabis research2026

Through the haze: a multinational cross-sectional comparison of cannabis risk knowledge gaps among young adults.

Anne Maiwald, Elena Gomes de Matos, Sally Olderbak, Larissa Schwarzkopf, Gabriele Koller, Reiner Hanewinkel, David Hammond, Eva Hoch

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Article in Journal of cannabis research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Anne MaiwaldDepartment of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany. A.Maiwald@campus.lmu.de.
Elena Gomes de MatosIFT Institut für Therapieforschung, Centre for Mental Health and Addiction Research, Munich, Germany.
Sally OlderbakDepartment of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany.
Larissa SchwarzkopfIFT Institut für Therapieforschung, Centre for Mental Health and Addiction Research, Munich, Germany.
Gabriele KollerDepartment of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany.
Reiner HanewinkelInstitut für Therapie- und Gesundheitsforschung, IFT-Nord, Kiel, Germany.
David HammondSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
Eva HochDepartment of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYoung adults report heightened cannabis use yet show gaps in cannabis-related risk knowledge. Risk knowledge gaps in young adults with diverse cannabis use experience and across countries with varying cannabis policies, as well as associations with knowledge levels were explored.

methodsThe International Cannabis Policy Study (ICPS) is a cross-sectional, web-based survey that uses non-probability sampling and post-stratification weighting. Data from the 2023 ICPS national surveys conducted in Canada, Germany and the UK were used. A total of n = 2,945 18- to 25-year-olds were included in the analyses (Canada: n = 2,047; Germany: n = 446; UK: n = 452). Risk knowledge gaps were assessed through 7 health-related risk items. Inaccurate responses were turned into an index variable to measure participants’ level of risk knowledge. Negative binomial regression models were used to examine associations between sociodemographic and use-related variables and knowledge level.

resultsRisk knowledge levels were highest among German participants, and lowest among UK participants. Some risks were better known than others across all countries. Risk knowledge was lowest among regular cannabis consumers, for whom being from the UK was associated with decreased knowledge levels (IRR = 1.227) and being at moderate risk of harm from use was associated with increased knowledge levels (IRR = 0.701). Among occasional consumers, age (IRR = 1.041), being male (IRR = 1.222) and being at moderate (IRR = 1.236) and high (IRR = 1.818) risk of harm from use were associated with decreased risk knowledge, whereas peer use (IRR = 0.718) was associated with increased risk knowledge.

conclusionsThis study showed that there are differences in the perception of cannabis risks among young adults, which are associated with individual consumption patterns as well as country-specific and sociodemographic factors. Findings extend the current understanding of differences and similarities in risk knowledge gaps among young adults across different countries, allowing for a more tailored risk education towards the needs of this target group.

Indexed as

Cannabis usePreventionRisk knowledgeYoung adults

Identifiers

PMID42050738
PMCPMC13126719

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.