The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
What are the high risk periods for incident substance use and transitions to abuse and dependence? Implications for early intervention and prevention
Open accessAbstract
BACKGROUND: For a better understanding of the evolution of addictive disorders and the timely initiation of early intervention and prevention, we have to learn when and how quickly the critical transitions from first substance use (SU) to regular use and from first SU and regular SU to abuse and dependence occur. Little data are currently available on the transitions to substance use disorders (SUDs) across the spectrum of legal and illegal drugs taking into account gender differences. It is the aim of this paper to describe the high density incidence and transition periods of SU and SUD for alcohol, nicotine, cannabis and other illicit drugs for young males and females. METHODS: A sample of (N = 3021) community subjects aged 14-24 at baseline were followed-up prospectively over 10-years. SU and SUD were assessed using the DSM-IV/M-CIDI. RESULTS: Ages 10-16 are the high risk period for first alcohol and nicotine use (up to 38% of subjects start before age 14). Onset of illegal SU occurs later. Substantial proportions of transitions to regular SU and SUD occur in the first three years after SU onset. Only few gender differences were found for time patterns of SU/SUD incidence and transition. CONCLUSION: Except for alcohol the time windows for targeted intervention to prevent progression to malignant patterns in adolescence are critically small, leaving little time for targeted intervention to prevent transition. The fast transitions to abuse and dependence in adolescence may be indicative for the increased vulnerability to substance effects in this time period. Basic research on the determinants of transitions should thus target this period in adolescence.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Modeling Survival Data: Extending the Cox Model
Therneau, T. M., & Grambsch, P. M. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4757-3294-8 · Cited by 8,674
Wagner, F. (2002) · Neuropsychopharmacology · doi:10.1016/s0893-133x(01)00367-0 · Cited by 739
Wittchen, H.-U., Lachner, G., Wunderlich, U., & Pfister, H. (1998) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s001270050095 · Cited by 668
Wittchen, H.-U., Fröhlich, C., Behrendt, S., Günther, A., Rehm, J., Zimmermann, P., Lieb, R., & Perkonigg, A. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.12.013 · Cited by 311 · cited 7×
“However, mental disorders other than SUD co-occur frequently with adolescent (early onset) SU and SUD (Armstrong and Costello, 2002), predict onset of CU and CUD (Wittchen et al., 2007) and are associated with greater severity of SUD symptoms and poorer treatment outcome (Rowe et al., 2004), indicating that comorbidit…”
BackgroundInfluentialSelf-citationEarly smoking initiation and nicotine dependence in a cohort of young adults
Breslau, N., Fenn, N., & Peterson, E. L. (1993) · Drug and Alcohol Dependence · doi:10.1016/0376-8716(93)90054-t · Cited by 285
Cited by
Cost of disorders of the brain in Europe 2010
Gustavsson, A., Svensson, M., Jacobi, F., Allgulander, C., Alonso, J., Beghi, E., Dodel, R., Ekman, M., Faravelli, C., Fratiglioni, L., et al. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.08.008 · Cited by 1,723
Self-citationLeung, J., Chan, G. C. K., Hides, L., & Hall, W. D. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106479 · Cited by 358
Goschke, T. (2014) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1410 · Cited by 293
Drugs as instruments: A new framework for non-addictive psychoactive drug use
Müller, C. P., & Schumann, G. (2011) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000057 · Cited by 286
Swendsen, J., Conway, K. P., Degenhardt, L., Dierker, L., Glantz, M., Jin, R., Merikangas, K. R., Sampson, N., & Kessler, R. C. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02622.x · Cited by 139
Metadata
- Authors
- Wittchen, H.-U., Behrendt, S., Höfler, M., Perkonigg, A., Lieb, R., Bühringer, G., & Beesdo, K.
- Venue
- International Journal of Methods in Psychiatric Research
- Publisher
- Wiley
- Published
- 2008
- Volume
- 17
- Issue
- S1
- Pages
- S16-S29
- ISSN
- 1049-8931 (ISSN-L)
- 1557-0657
- OpenAlex
- W2155597384
- Cited by
- 174
- References
- 5
- FWCI
- 6.57
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: What are the high risk periods for incident substance use and transitions to abuse and dependence? Implications for early intervention and prevention. https://app.cochat.ai/papers/10.1002/mpr.254
- The paper
- Wittchen, H.-U., Behrendt, S., Höfler, M., Perkonigg, A., Lieb, R., Bühringer, G., & Beesdo, K. (2008). What are the high risk periods for incident substance use and transitions to abuse and dependence? Implications for early intervention and prevention. International Journal of Methods in Psychiatric Research. https://doi.org/10.1002/mpr.254
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.