An overview of the use of urine, hair, sweat and saliva to detect drug use
This paper provides a brief overview of qualitative drug testing procedures using urine, hair, saliva and sweat specimens. Issues related to collection, analysis and interpretation of each specimen as well as their advantages and disadvantages are discussed. The biological detection of drug use invo...
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Published in: | Drug and alcohol review Vol. 23; no. 2; pp. 213 - 217 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Oxford, UK
Informa UK Ltd
01-06-2004
Blackwell Publishing Ltd |
Subjects: | |
Online Access: | Get full text |
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Summary: | This paper provides a brief overview of qualitative drug testing procedures using urine, hair, saliva and sweat specimens. Issues related to collection, analysis and interpretation of each specimen as well as their advantages and disadvantages are discussed. The biological detection of drug use involves a screening test which, if positive, is followed by a confirmatory test. Urine is the most widely used specimen in the detection of drugs. Urinalysis offers an intermediate window of detection (1 - 3 days). Hair analysis offers the largest window of detection (7 - 100 + days). Saliva analysis may be useful in determining very recent drug use (1 - 36 hours). The analysis of sweat may be useful for continuous monitoring of drug use (1 - 14 days). Drug testing has become a fast, convenient process with the development of point-of-collection drug testing devices. [Dolan K, Rouen D, Kimber J. An overview of the use of urine, hair, sweat and saliva to detect drug use. Drug Alcohol Rev 2004;23:213 - 217] |
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Bibliography: | istex:9C2BB775463CD9574137F45260A728B8B3BCB060 ArticleID:DAR1225 ark:/67375/WNG-LLBGK85W-6 Kate Dolan BSc, PhD, Senior Lecturer, David Rouen BSc, MPsych (Clinical), Research Officer, Jo Kimber BSc (Psych) Hons, Research Officer, National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0959-5236 1465-3362 |
DOI: | 10.1080/09595230410001704208 |