Cited by 60Substance Abuse Treatment and OutcomesYouth, Drugs, and ViolenceSchool Health and Nursing Education

A universal harm-minimisation approach to preventing psychostimulant and cannabis use in adolescents: a cluster randomised controlled trial

Open access
Vogl, Laura Elise, Newton, Nicola Clare, Champion, Katrina Elizabeth, Teesson, Maree·2014·Substance Abuse Treatment, Prevention, and Policy

Abstract

BACKGROUND: Psychostimulants and cannabis are two of the three most commonly used illicit drugs by young Australians. As such, it is important to deliver prevention for these substances to prevent their misuse and to reduce associated harms. The present study aims to evaluate the feasibility and effectiveness of the universal computer-based Climate Schools: Psychostimulant and Cannabis Module. METHODS: A cluster randomised controlled trial was conducted with 1734 Year 10 students (mean age = 15.44 years; SD = 0.41) from 21 secondary schools in Australia. Schools were randomised to receive either the six lesson computer-based Climate Schools program or their usual health classes, including drug education, over the year. RESULTS: The Climate Schools program was shown to increase knowledge of cannabis and psychostimulants and decrease pro-drug attitudes. In the short-term the program was effective in subduing the uptake and plateauing the frequency of ecstasy use, however there were no changes in meth/amphetamine use. In addition, females who received the program used cannabis significantly less frequently than students who received drug education as usual. Finally, the Climate Schools program was related to decreasing students' intentions to use meth/amphetamine and ecstasy in the future, however these effects did not last over time. CONCLUSIONS: These findings provide support for the use of a harm-minimisation approach and computer technology as an innovative platform for the delivery of prevention education for illicit drugs in schools. The current study indicated that teachers and students enjoyed the program and that it is feasible to extend the successful Climate Schools model to the prevention of other drugs, namely cannabis and psychostimulants. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN12613000492752.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1747-597x-9-24

Cites

59 of 59 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

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

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Backer TE Finding the balance: Program fidelity and adaptation in substance abuse prevention: a state of the art review 2001 Rockville: In. Edited by Center for Substance Abuse Prevention SAaMHSA
  2. Botvin GJ Preventing drug abuse in schools: social and competence enhancement approaches targeting individual-level etiologic factors Addict Behav 2000 25 6 887 897 11125777
  3. McBride N Farringdon F Midford R Meuleners L Phillips M Harm minimization in school drug education: Final results of the School Health and Alcohol Harm Reduction Project (SHAHRP) Addiction 2004 99 3 278 291 14982537

Cited by

Sorted by citations

Authors
Vogl, L. E., Newton, N. C., Champion, K. E., & Teesson, M.
Affiliations
UNSW Sydney (AU)
Corresponding author
Newton, Nicola Clare
Venue
Substance Abuse Treatment, Prevention, and Policy
Published
2014-06-18
Volume
9
Issue
1
Pages
24-24
ISSN
1747-597X (ISSN-L)
OpenAlex
W2098880539
Cited by
60
References
59
Citations by year
2026: 1 · 2025: 2 · 2023: 8 · 2022: 13 · 2021: 6 · 2020: 4 · 2019: 2 · 2018: 6 · 2017: 9 · 2016: 6 · 2015: 3
FWCI
4.55
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Substance Abuse Treatment Prevention and Policy (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
  • UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
Funders
Australian Government
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Demography › Youth, Drugs, and Violence
  • Health Sciences › Health Professions › Speech and Hearing › School Health and Nursing Education
Keywords
harm reduction, substance use prevention, psychostimulants, cannabis, adolescents, computer-based intervention, ecstasy, methamphetamine, medication knowledge, high school students, gender differences in drug use, intention to use
MeSH terms
Adolescent, Australia, Feasibility Studies, Female, Humans, Male, Marijuana Smoking, Surveys and Questionnaires, School Health Services, Sympathomimetics, User-Computer Interface, Amphetamine-Related Disorders, Harm Reduction

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