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Cited by 454

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Diagnostic Validity of the Drug Abuse Screening Test in the Assessment of DSM‐III Drug Disorders

GAVIN, DOUGLAS R., ROSS, HELEN E., SKINNER, HARVEY A.·1989·British Journal of Addiction

Abstract

Summary: Diagnostic validity of the DAST was assessed using a clinical sample of 501 drug/alcohol patients. Various DAST cut‐points were validated against DSM‐III drug abuse/dependence criteria, as assessed by the Diagnostic Interview Schedule, The DAST attained 8S% overall accuracy in classifying patients according to DSM‐III diagnosis. This accuracy was maintained between DAST score cut‐points of 5/6 through 9/10. Receiver Operating Characteristic analysis indicated that 5/6 was the optimum threshold score. The DAST was also correlated with demographic variables, psychiatric history, and drug use. The results showed very good concurrent and discriminant validity. This study concluded that fairly accurate estimation of DSM‐III drug criteria could be made using a brief self‐adminstered questionnaire (DAST). However, caution must be expressed when generalizing these findings to other contexts (e.g. the justice system) where subjects may have stronger motivation to under‐report drug involvement.

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Crossref · 10.1111/j.1360-0443.1989.tb03463.x

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Metadata

Authors
GAVIN, D. R., ROSS, H. E., & SKINNER, H. A.
Venue
British Journal of Addiction
Publisher
Wiley
Published
1989-03
Volume
84
Issue
3
Pages
301-307
ISSN
  • 0952-0481 (ISSN-L)
  • 2056-5178
OpenAlex
W2113351872
Cited by
454
References
2
FWCI
1.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Diagnostic Validity of the Drug Abuse Screening Test in the Assessment of DSM‐III Drug Disorders. https://app.cochat.ai/papers/10.1111/j.1360-0443.1989.tb03463.x
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GAVIN, D. R., ROSS, H. E., & SKINNER, H. A. (1989). Diagnostic Validity of the Drug Abuse Screening Test in the Assessment of DSM‐III Drug Disorders. British Journal of Addiction. https://doi.org/10.1111/j.1360-0443.1989.tb03463.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.