A universal harm-minimisation approach to preventing psychostimulant and cannabis use in adolescents: a cluster randomised controlled trial
Open accessAbstract
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.
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School-based behavioral interventions are effective universal prevention interventions to minimize risk of bullying and peer rejection as well as substance abuse.
“school-based behavioral interventions to minimize risk of bullying and peer rejection [62, 63] as well as substance abuse [64, 65]”
From Prevention and early intervention in youth mental health: is it time for a multidisciplinary and trans-diagnostic model for care? (2020) · cites this paper as [65]
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Cites
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,768 · see citing works
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550 · see citing works
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,820 · see citing works
Dusenbury, L. (2003) · Health Education Research · doi:10.1093/her/18.2.237 · Cited by 1,671 · see citing works
Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide
Twisk, J. W. R. (2003) · Cited by 1,244 · see citing works
Adverse health effects of non-medical cannabis use
Hall, W., & Degenhardt, L. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61037-0 · Cited by 1,134 · see citing works
Degenhardt, L., Chiu, W.-T., Sampson, N., Kessler, R. C., Anthony, J. C., Angermeyer, M., Bruffaerts, R., de Girolamo, G., Gureje, O., Huang, Y., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050141 · Cited by 796 · see citing works
School-Based Adolescent Drug Prevention Programs: 1998 Meta-Analysis
Tobler, N. S., Roona, M., Ochshorn, P., Marshall, D., Streke, A., & Stackpole, K. M. (2000) · The Journal of Primary Prevention · doi:10.1023/a:1021314704811 · Cited by 757 · see citing works
Tobler, N. S. (1986) · Journal of Drug Issues · doi:10.1177/002204268601600405 · Cited by 648 · see citing works
Effectiveness of School-Based Drug Prevention Programs: A Meta-Analysis of the Research
Tobler, N. S., & Stratton, H. H. (1997) · The Journal of Primary Prevention · doi:10.1023/a:1024630205999 · Cited by 601 · see citing works
Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide
Twisk, J. W. R. (2013) · doi:10.1017/cbo9781139342834 · Cited by 593 · see citing works
Using Hierarchical Linear Modeling to Study Social Contexts: The Case of School Effects
Lee, V. E. (2000) · Educational Psychologist · doi:10.1207/s15326985ep3502_6 · Cited by 580 · see citing works
School-based substance abuse prevention: a review of the state of the art in curriculum, 1980–1990
Hansen, W. B. (1992) · Health Education Research · doi:10.1093/her/7.3.403 · Cited by 538 · see citing works
Preventing drug abuse in schools
Botvin, G. J. (2000) · Addictive Behaviors · doi:10.1016/s0306-4603(00)00119-2 · Cited by 443 · see citing works
Diffusion of a School-Based Substance Abuse Prevention Program: Predictors of Program Implementation
Rohrbach, L. A., Graham, J. A., & Hansen, W. B. (1993) · Preventive Medicine · doi:10.1006/pmed.1993.1020 · Cited by 431 · see citing works
Behrendt, S., Wïttchen, H., Höfler, M., Lieb, R., & Beesdo, K. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.06.014 · Cited by 372 · see citing works
Validity of adolescent self-report of alcohol and other drug involvement.
Winters, K., Stinchfield, R., Henly, G., & Schwartz, R. H. (1990) · International Journal of the Addictions · doi:10.3109/10826089009068469 · Cited by 370 · see citing works
Possible Contributors to the Gender Differences in Alcohol Use and Problems
Nolen–Hoeksema, S., & Hilt, L. (2006) · The Journal of General Psychology · doi:10.3200/genp.133.4.357-374 · Cited by 346 · see citing works
Ellickson, P. L., McCaffrey, D. F., Ghosh‐Dastidar, B., & Longshore, D. L. (2003) · American Journal of Public Health · doi:10.2105/ajph.93.11.1830 · Cited by 306 · see citing works
What predicts incident use of cannabis and progression to abuse and dependence?
von Sydow, K., Lieb, R., Pfister, H., Höfler, M., & Wittchen, H.-U. (2002) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(02)00102-3 · Cited by 301 · see citing works
Personality‐targeted interventions delay the growth of adolescent drinking and binge drinking
Conrod, P., Ryan, N. C., & Mackie, C. J. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01826.x · Cited by 270 · see citing works
MCBRIDE, N. T., FARRINGDON, F. H., Midford, R., Meuleners, L. B., & Phillips, M. (2004) · Addiction · doi:10.1111/j.1360-0443.2003.00620.x · Cited by 267 · see citing works
Conrod, P., Ryan, N. C., & Strang, J. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.173 · Cited by 257 · see citing works
Handbook of drug abuse prevention : theory, science, and practice
Sloboda, Z., & Bukoski, W. J. (2003) · Cited by 223 · see citing works
Cannabis use disorder: Epidemiology and management
Copeland, J., & Swift, W. (2009) · International Review of Psychiatry · doi:10.1080/09540260902782745 · Cited by 190 · see citing works
Botvin, G. J., Griffin, K. W., Diaz, T., & Ifill-Williams, M. (2001) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.15.4.360 · Cited by 190 · see citing works
Swift, W., Coffey, C., Carlin, J. B., Degenhardt, L. J., & Patton, G. C. (2008) · Addiction · doi:10.1111/j.1360-0443.2008.02246.x · Cited by 182 · see citing works
Internet‐based prevention for alcohol and cannabis use: final results of the Climate Schools course
Newton, N. C., Teesson, M., Vogl, L., & Andrews, G. (2010) · Addiction · doi:10.1111/j.1360-0443.2009.02853.x · Cited by 176 · see citing works
Self-citationvon Sydow, K., Lieb, R., Pfister, H., Höfler, M., Sonntag, H., & Wïttchen, H. (2001) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(01)00137-5 · Cited by 162 · see citing works
Champion, K. E., Newton, N. C., Barrett, E. L., & Teesson, M. (2013) · Drug and Alcohol Review · doi:10.1111/j.1465-3362.2012.00517.x · Cited by 158 · cited 1× · see citing works
“15, which is consistent with effects reported for other universal school-based interventions for alcohol and other drugs [33,64].”
BackgroundSelf-citationThe health effects of ecstasy: a literature review
Gowing, L., HENRY‐EDWARDS, S. M., Irvine, R. J., & Ali, R. L. (2002) · Drug and Alcohol Review · doi:10.1080/09595230220119363 · Cited by 153 · see citing works
A systematic review of school drug education
MCBRIDE, N. T. (2003) · Health Education Research · doi:10.1093/her/cyf050 · Cited by 152 · see citing works
Three Decades of Drug Prevention Research
Cuijpers, P. J. (2003) · Drugs Education Prevention and Policy · doi:10.1080/0968763021000018900 · Cited by 151 · see citing works
Does gender moderate associations among impulsivity and health-risk behaviors?
Stoltenberg, S. F., Batien, B. D., & Birgenheir, D. G. (2007) · Addictive Behaviors · doi:10.1016/j.addbeh.2007.09.004 · Cited by 139 · see citing works
The Prevalence of Effective Substance Use Prevention Curricula in U.S. Middle Schools
Ringwalt, C. L., Ennett, S. T., Vincus, A. A., Thorne, J., Rohrbach, L. A., & Simons‐Rudolph, A. (2002) · Prevention Science · doi:10.1023/a:1020872424136 · Cited by 137 · see citing works
Adolescents, alcohol, and substance abuse: reaching teens through brief interventions.
Monti, P. M., Colby, S. M., & Tevyaw, T. O. (2001) · Guilford Press eBooks · Cited by 136 · see citing works
Newton, N. C., Andrews, G., Teesson, M., & Vogl, L. (2009) · Preventive Medicine · doi:10.1016/j.ypmed.2009.04.009 · Cited by 111 · see citing works
Self-citationVogl, L., Teesson, M., Andrews, G., Bird, K. D., Steadman, B., & Dillon, P. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02510.x · Cited by 110 · see citing works
Self-citationAustralian school‐based prevention programs for alcohol and other drugs: A systematic review
Teesson, M., Newton, N. C., & Barrett, E. L. (2012) · Drug and Alcohol Review · doi:10.1111/j.1465-3362.2012.00420.x · Cited by 97 · see citing works
Self-citationBiglan, A., Severson, H. H., Ary, D. V., Faller, C., Gallison, C., Thompson, R., Glasgow, R. E., & Lichtenstein, E. H. (1987) · Journal of Behavioral Medicine · doi:10.1007/bf00846424 · Cited by 92 · see citing works
Heo, M., & Leon, A. C. (2009) · Statistics in Medicine · doi:10.1002/sim.3527 · Cited by 91 · see citing works
Newton, N. C., Vogl, L., Teesson, M., & Andrews, G. (2009) · Australian & New Zealand Journal of Psychiatry · doi:10.1080/00048670802653364 · Cited by 75 · see citing works
Self-citationDrug Abuse Prevention Curricula in Schools
Botvin, G. J., & Griffin, K. W. (2007) · Springer eBooks · doi:10.1007/0-387-35408-5_3 · Cited by 60 · see citing works
Blending Prevention Research and Practice in Schools: Critical Issues and Suggestions
Kaftarian, S. J., Robertson, E., Compton, W. M., Davis, B. W., & Volkow, N. D. (2004) · Prevention Science · doi:10.1023/b:prev.0000013975.74774.bc · Cited by 52 · see citing works
Treatment needs and experiences of Australian women with alcohol and other drug problems
Swift, W., & Copeland, J. (1996) · Drug and Alcohol Dependence · doi:10.1016/0376-8716(95)01209-5 · Cited by 48 · see citing works
Harm reduction in school drug education: developing an Australian approach
Midford, R., MCBRIDE, N. T., & Munro, G. (1998) · Drug and Alcohol Review · doi:10.1080/09595239800187151 · Cited by 39 · see citing works
Implementation Fidelity in a Teacher-Led Alcohol use Prevention Curriculum
Pankratz, M. M., Jackson‐Newsom, J., Giles, S. M., Ringwalt, C. L., Bliss, K., & Bell, M. L. (2006) · Journal of Drug Education · doi:10.2190/h210-2n47-5x5t-21u4 · Cited by 34 · see citing works
Lessons from Project Northland: preventing alcohol problems during adolescence.
Williams, C. L., & Perry, C. L. (1998) · PubMed · Cited by 33 · see citing works
Role Rehearsal and Efficacy: Two 15-Month Evaluations of a Ninth-Grade Alcohol Education Program
Newman, I. M., Anderson, C. S., & Farrell, K. A. (1992) · Journal of Drug Education · doi:10.2190/qqwe-pfj5-pvky-fqqk · Cited by 31 · see citing works
Verifying Drug Abuse Prevention Program Effects Using Reciprocal Best Friend Reports
Donaldson, S. I., Thomas, C. W., Graham, J. A., Au, J. G., & Hansen, W. B. (2000) · Journal of Behavioral Medicine · doi:10.1023/a:1005559620739 · Cited by 27 · see citing works
Comprehensiveness of substance use prevention programs in U.S. middle schools
Wenter, D., Ennett, S. T., Ribisl, K. M., et al. (2002) · Journal of Adolescent Health · doi:10.1016/s1054-139x(02)00346-4 · Cited by 25 · see citing works
Vogl, L., Teesson, M., Newton, N. C., & Andrews, G. (2012) · Open Journal of Preventive Medicine · doi:10.4236/ojpm.2012.23059 · Cited by 25 · see citing works
Self-citationSwift, W., Coffey, C., Carlin, J. B., Degenhardt, L. J., Calabria, B., & Patton, G. C. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02534.x · Cited by 23 · see citing works
Gender Issues in Substance Abuse Prevention
Rohrbach, L. A., & Milam, J. E. (2007) · Springer eBooks · doi:10.1007/0-387-35408-5_17 · Cited by 15 · see citing works
Program Evaluation Strategies for Substance Abuse Prevention
Hansen, W. B. (2002) · The Journal of Primary Prevention · doi:10.1023/a:1015231724053 · Cited by 12 · see citing works
A Review of School-Based Drug Prevention Program Evaluations in the 1990s
Shin, H. (2001) · American Journal of Health Education · doi:10.1080/19325037.2001.10603455 · Cited by 12 · see citing works
Cannabis in Australia - Use, supply, harms and responses
(2006) · Cited by 10 · see citing works
Winchester, L., Rissel, C. E., Bauman, A., et al. (1996) · Health Promotion Journal of Australia · Cited by 7 · see citing works
Age at Drinking Onset and Alcohol Dependence: Age at Onset, Duration, and Severity
Hingson, R. W., Heeren, T., & Winter, M. R. (2006) · Archives of Pediatrics & Adolescent Medicine · doi:10.1001/archpedi.160.7.739 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- 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
- 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
- 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
Colizzi, M., Lasalvia, A., & Ruggeri, M. (2020) · International Journal of Mental Health Systems · doi:10.1186/s13033-020-00356-9 · Cited by 727 · see citing works
Improving outcomes of first‐episode psychosis: an overview
Fusar‐Poli, P., McGorry, P. D., & Kane, J. M. (2017) · World Psychiatry · doi:10.1002/wps.20446 · Cited by 575 · see citing works
Early interventions in risk groups for schizophrenia: what are we waiting for?
Sommer, I. E., Bearden, C. E., van Dellen, E., Breetvelt, E. J., Duijff, S. N., Maijer, K., van Amelsvoort, T., de Haan, L., Gur, R. E., Arango, C., et al. (2016) · npj Schizophrenia · doi:10.1038/npjschz.2016.3 · Cited by 140 · see citing works
Newton, N. C., Champion, K. E., Slade, T., Chapman, C., Stapinski, L., Koning, I., Tonks, Z., & Teesson, M. (2017) · Drug and Alcohol Review · doi:10.1111/dar.12497 · Cited by 111 · see citing works
Self-citationBoumparis, N., Loheide-Niesmann, L., Blankers, M., Ebert, D. D., Korf, D., Schaub, M. P., Spijkerman, R., Tait, R. J., & Riper, H. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.03.016 · Cited by 110 · see citing works
- 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)
- PMC
- PMC4074146
- 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
- gold
- doi.org
- 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
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