The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Specificity of Genetic and Environmental Risk Factors for Symptoms of Cannabis, Cocaine, Alcohol, Caffeine, and Nicotine Dependence
Abstract
CONTEXT: Although genetic risk factors have been found to contribute to dependence on both licit and illicit psychoactive substances, we know little of how these risk factors interrelate. OBJECTIVE: To clarify the structure of genetic and environmental risk factors for symptoms of dependence on cannabis, cocaine, alcohol, caffeine, and nicotine in males and females. DESIGN: Lifetime history by structured clinical interview. SETTING: General community. PARTICIPANTS: Four thousand eight hundred sixty-five members of male-male and female-female pairs from the Virginia Adult Twin Study of Psychiatric and Substance Use Disorders. Main Outcome Measure Lifetime symptoms of abuse of and dependence on cannabis, cocaine, alcohol, caffeine, and nicotine. RESULTS: Controlling for greater symptom prevalence in males, genetic and environmental parameters could be equated across sexes. Two models explained the data well. The best-fit exploratory model contained 2 genetic factors and 1 individual environmental factor contributing to all substances. The first genetic factor loaded strongly on cocaine and cannabis dependence; the second, on alcohol and nicotine dependence. Nicotine and caffeine had high substance-specific genetic effects. A confirmatory model, which also fit well, contained 1 illicit drug genetic factor--loading only on cannabis and cocaine--and 1 licit drug genetic factor loading on alcohol, caffeine, and nicotine. However, these factors were highly intercorrelated (r = + 0.82). Large substance-specific genetic effects remained for nicotine and caffeine. CONCLUSIONS: The pattern of genetic and environmental risk factors for psychoactive substance dependence was similar in males and females. Genetic risk factors for dependence on common psychoactive substances cannot be explained by a single factor. Rather, 2 genetic factors-one predisposing largely to illicit drug dependence, the other primarily to licit drug dependence-are needed. Furthermore, a large proportion of the genetic influences on nicotine and particularly caffeine dependence appear to be specific to those substances.
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
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. (2013) · Encyclopedia of Social Work · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,519
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738
Akaike, H. (1987) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_29 · Cited by 4,027
Measuring nicotine dependence: A review of the Fagerstrom Tolerance Questionnaire
Fagerstrom, K. O., & Schneider, N. G. (1989) · Journal of Behavioral Medicine · doi:10.1007/bf00846549 · Cited by 1,598
Krueger, R. F., Hicks, B. M., Patrick, C. J., Carlson, S. R., Iacono, W. G., & McGue, M. (2002) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.111.3.411 · Cited by 1,378
Tsuang, M. T., Lyons, M. J., Meyer, J. M., Doyle, T., Eisen, S. A., Goldberg, J., True, W., Lin, N., Toomey, R., & Eaves, L. (1998) · Archives of General Psychiatry · doi:10.1001/archpsyc.55.11.967 · Cited by 710
Kendler, K. S., Jacobson, K. C., Prescott, C. A., & Neale, M. C. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.4.687 · Cited by 693
Self-citationA Population-Based Twin Study of Lifetime Major Depression in Men and Women
Kendler, K. S., & Prescott, C. A. (1999) · Archives of General Psychiatry · doi:10.1001/archpsyc.56.1.39 · Cited by 512
Self-citationKendler, K. S., Karkowski, L. M., Neale, M. C., & Prescott, C. A. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.3.261 · Cited by 502
Self-citationGenetic influences onDSM-III-R drug abuse and dependence: A study of 3,372 twin pairs
Tsuang, M. T., Lyons, M. J., Eisen, S. A., Goldberg, J., True, W., Lin, N., Meyer, J. M., Toomey, R., Faraone, S. V., & Eaves, L. (1996) · American Journal of Medical Genetics · doi:10.1002/(sici)1096-8628(19960920)67:5<473::aid-ajmg6>3.0.co;2-l · Cited by 464
Cited by
Caffeinated energy drinks a growing problem
Reissig, C. J., Strain, E. C., & Griffiths, R. R. (2009) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.08.001 · Cited by 1,026
Transcriptional and epigenetic mechanisms of addiction
Robison, A. J., & Nestler, E. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3111 · Cited by 993
Iacono, W. G., Malone, S. M., & McGue, M. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.4.022007.141157 · Cited by 554
A genome-wide association study of alcohol dependence
Bierut, L. J., Agrawal, A., Bucholz, K. K., Doheny, K. F., Laurie, C., Pugh, E., Fisher, S., Fox, L., Howells, W., Bertelsen, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911109107 · Cited by 457
A Molecular Basis for Nicotine as a Gateway Drug
Kandel, E. R., & Kandel, D. B. (2014) · New England Journal of Medicine · doi:10.1056/nejmsa1405092 · Cited by 353
Metadata
- Authors
- Kendler, K. S., Myers, J., & Prescott, C. A.
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2007-11-01
- Volume
- 64
- Issue
- 11
- Pages
- 1313
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2139097281
- Cited by
- 369
- References
- 39
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- closed
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: Specificity of Genetic and Environmental Risk Factors for Symptoms of Cannabis, Cocaine, Alcohol, Caffeine, and Nicotine Dependence. https://app.cochat.ai/papers/10.1001/archpsyc.64.11.1313
- The paper
- Kendler, K. S., Myers, J., & Prescott, C. A. (2007). Specificity of Genetic and Environmental Risk Factors for Symptoms of Cannabis, Cocaine, Alcohol, Caffeine, and Nicotine Dependence. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.64.11.1313
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.