Evidence map›Paper›PMID 41104114›Full record

ArticleJournal of health monitoring2025

Cannabis use among adolescents and young adults in Germany: Study results and prevention measures offered by the Federal Institute of Public Health.

Stephanie Eckhardt, Anika Nitzsche, Boris Orth

Abstract read
In one paragraph

Article in Journal of health monitoring, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Preliminary effectiveness of theInternet interventions · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stephanie EckhardtFederal Institute of Public Health, Unit T 4 - Addiction Prevention, Cologne, Germany.
Anika NitzscheFederal Institute of Public Health, Unit Q 3 - Evaluation, Methods, Research Data, Cologne, Germany.
Boris OrthFederal Institute of Public Health, Unit Q 3 - Evaluation, Methods, Research Data, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the passage of the Consumer Cannabis Act, cannabis was partially legalised on 1 April 2024 in Germany. Cannabis remains prohibited for adolescents under the age of 18. This article analyses how the prevalence of cannabis use among young people in Germany has developed up to this point and presents prevention measures and funding projects offered by the Federal Institute of Public Health (BIÖG, formerly the Federal Centre for Health Education, BZgA). Methods: Based on representative studies by the BIÖG, sociodemographic differences in 2023 and trends in the 12-month prevalence of cannabis use between 2008 and 2023 are analysed for 12- to 17-year-old adolescents and 18- to 25-year-old young adults. Current prevention measures are systematically presented. Results: The 12-month prevalence of cannabis use remained relatively stable among female and male adolescents before partial legalisation, but increased significantly among young women (2008: 8.3 %; 2023: 19.4 %) and men (2008: 14.8 %; 2023: 26.9 %). Cannabis prevention measures focus on the school setting and digital services. Conclusions: The effects of partial legalisation on cannabis use among adolescents and young adults must be evaluated in future studies. The BIÖG offers well-founded information on cannabis, its effects and health risks, as well as digital counselling services and self-tests for different target groups, and is continuously expanding its services.

Indexed as

AdolescentsCannabis useGermanyPreventionTemporal trendsYoung adults

Identifiers

PMID41104114
PMCPMC12523105

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.