Literature DB >> 15370028

An overview of the use of urine, hair, sweat and saliva to detect drug use.

Kate Dolan1, David Rouen, Jo Kimber.   

Abstract

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.

Mesh:

Year:  2004        PMID: 15370028     DOI: 10.1080/09595230410001704208

Source DB:  PubMed          Journal:  Drug Alcohol Rev        ISSN: 0959-5236


  22 in total

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Review 6.  Objective Testing: Urine and Other Drug Tests.

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Review 7.  A Literature Review Examining Primary Outcomes of Medication Treatment Studies for Opioid Use Disorder: What Outcome Should Be Used to Measure Opioid Treatment Success?

Authors:  Breanne E Biondi; Xiaoying Zheng; Cynthia A Frank; Ismene Petrakis; Sandra A Springer
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8.  The correspondence of parent-reported measures of adolescent alcohol and cannabis use with adolescent-reported measures: A systematic review.

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9.  Excretion of methamphetamine and amphetamine in human sweat following controlled oral methamphetamine administration.

Authors:  Allan J Barnes; Michael L Smith; Sherri L Kacinko; Eugene W Schwilke; Edward J Cone; Eric T Moolchan; Marilyn A Huestis
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10.  Rapid sampling of molecules via skin for diagnostic and forensic applications.

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Journal:  Pharm Res       Date:  2010-03-18       Impact factor: 4.200

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