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Cited by 237

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Genetic and environmental influences on drug use and abuse/dependence in male and female twins

Open access
van den Bree, Marianne B.M, Johnson, Eric O, Neale, Michael C, Pickens, Roy W·1998·Drug and Alcohol Dependence

Abstract

Twins were recruited through alcohol and drug treatment programs. With structural equation modeling, genetic and environmental estimates were obtained for use and DSM-III abuse/dependence of sedatives, opioids, cocaine, stimulants, and cannabis as well as any illicit drug. Analyses were conducted separately for males and females. Models included thresholds based on population prevalence of use or abuse/dependence and ever having been in treatment. Genetic influences were found for most measures. They were generally stronger for males than females and for clinical diagnoses of abuse/dependence compared to use. Common environmental influences played a greater role in use than abuse/dependence.

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Crossref · 10.1016/s0376-8716(98)00101-x

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Metadata

Authors
van den Bree, M. B. M., Johnson, E. O., Neale, M. C., & Pickens, R. W.
Venue
Drug and Alcohol Dependence
Publisher
Elsevier BV
Published
1998-11
Volume
52
Issue
3
Pages
231-241
ISSN
0376-8716 (ISSN-L)
OpenAlex
W2016973436
Cited by
237
References
5
FWCI
6.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genetic and environmental influences on drug use and abuse/dependence in male and female twins. https://app.cochat.ai/papers/10.1016/s0376-8716(98)00101-x
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van den Bree, M. B. M., Johnson, E. O., Neale, M. C., & Pickens, R. W. (1998). Genetic and environmental influences on drug use and abuse/dependence in male and female twins. Drug and Alcohol Dependence. https://doi.org/10.1016/s0376-8716(98)00101-x

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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.