Literature DB >> 11043653

Monitoring opiate use in substance abuse treatment patients with sweat and urine drug testing.

M A Huestis1, E J Cone, C J Wong, A Umbricht, K L Preston.   

Abstract

Although urine testing remains the standard for drug use monitoring, sweat testing for drugs of abuse is increasing, especially in criminal justice programs. One reason for this increase is sweat testing may widen the detection window compared to urine testing. Drug metabolites are rapidly excreted in urine limiting the window of detection of a single use to a few days. In contrast, sweat collection devices can be worn for longer periods of time. This study was designed to compare the efficacy of sweat testing versus urine testing for detecting drug use. Paired sweat patches that were applied and removed weekly on Tuesdays were compared to 3-5 consecutive urine specimens collected Mondays, Wednesdays, and Fridays (355 matched sweat and urine specimen sets) from 44 patients in a methadone-maintenance outpatient treatment program. All patches (N = 925) were extracted in 2.5 mL of solvent and analyzed by ELISA immunoassay for opiates (cutoff concentration 10 ng/mL). A subset (N = 389) of patches was analyzed by gas chromatography-mass spectrometry (GC-MS). Urine specimens (N = 1886) were subjected to qualitative analysis by EMIT (cutoff 300 ng/mL). Results were evaluated to (1) determine the identity and relative amounts of opiates in sweat; (2) assess replicability in duplicate patches; (3) compare ELISA and GC-MS results for opiates in sweat; and (4) compare the detection of opiate use by sweat and urine testing. Opiates were detected in 38.5% of the sweat patches with the ELISA screen. GC-MS analysis confirmed 83.4% of the screen-positive sweat patches for heroin, 6-acetylmorphine, morphine, and/or codeine (cutoff concentration 5 ng/mL) and 90.2% of the screen-negative patches. The sensitivity, specificity, and efficiency of ELISA opiate results as compared to GC-MS results in sweat were 96.7%, 72.2%, and 89.5%, respectively. Heroin and/or 6-acetylmorphine were detected in 78.1% of the GC-MS-positive sweat patches. Median concentrations of heroin, 6-acetylmorphine, morphine, and codeine in the positive sweat samples were 10.5, 13.6, 15.9, and 13.0 ng/mL, respectively. Agreement in paired sweat patch test results was 90.6% by ELISA analysis. For the purposes of this comparison of ELISA sweat patch to EMIT urine screening for opiates, the more commonly used urine test was considered to be the reference method. The sensitivity, specificity, and efficiency of sweat patch results to urine results for opiates were 68.6%, 86.1%, and 78.6%, respectively. There were 13.5% false-negative and 7.9% false-positive sweat results as compared to urine tests. Analysis of sweat patches provides an alternate method for objectively monitoring drug use and provides an advantage over urine drug testing by extending drug detection times to one week or longer. In addition, identification of heroin and/or 6-acetylmorphine in sweat patches confirmed the use of heroin in 78.1% of the positive cases and differentiated illicit heroin use from possible ingestion of codeine or opiate-containing foods. However, the percentage of false-negative results, at least in this treatment population, indicates that weekly sweat testing may be less sensitive than thrice weekly urine testing in detecting opiate use.

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Year:  2000        PMID: 11043653     DOI: 10.1093/jat/24.7.509

Source DB:  PubMed          Journal:  J Anal Toxicol        ISSN: 0146-4760            Impact factor:   3.367


  13 in total

Review 1.  Laboratory testing for prescription opioids.

Authors:  Michael C Milone
Journal:  J Med Toxicol       Date:  2012-12

2.  Excretion of methadone in sweat of pregnant women throughout gestation after controlled methadone administration.

Authors:  Allan J Barnes; Bertrand R Brunet; Robin E Choo; Patrick Mura; Rolley E Johnson; Hendrée E Jones; Marilyn A Huestis
Journal:  Ther Drug Monit       Date:  2010-08       Impact factor: 3.681

Review 3.  Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research.

Authors:  Sarah W Yip; Brian Kiluk; Dustin Scheinost
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-11-12

4.  Primary outcome indices in illicit drug dependence treatment research: systematic approach to selection and measurement of drug use end-points in clinical trials.

Authors:  Dennis M Donovan; George E Bigelow; Gregory S Brigham; Kathleen M Carroll; Allan J Cohen; John G Gardin; John A Hamilton; Marilyn A Huestis; John R Hughes; Robert Lindblad; G Alan Marlatt; Kenzie L Preston; Jeffrey A Selzer; Eugene C Somoza; Paul G Wakim; Elizabeth A Wells
Journal:  Addiction       Date:  2011-07-22       Impact factor: 6.526

Review 5.  Toward empirical identification of a clinically meaningful indicator of treatment outcome: features of candidate indicators and evaluation of sensitivity to treatment effects and relationship to one year follow up cocaine use outcomes.

Authors:  Kathleen M Carroll; Brian D Kiluk; Charla Nich; Elise E DeVito; Suzanne Decker; Donna LaPaglia; Dianne Duffey; Theresa A Babuscio; Samuel A Ball
Journal:  Drug Alcohol Depend       Date:  2014-01-31       Impact factor: 4.492

6.  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
Journal:  Clin Chem       Date:  2007-11-02       Impact factor: 8.327

7.  Excretion of Delta9-tetrahydrocannabinol in sweat.

Authors:  Marilyn A Huestis; Karl B Scheidweiler; Takeshi Saito; Neil Fortner; Tsadik Abraham; Richard A Gustafson; Michael L Smith
Journal:  Forensic Sci Int       Date:  2007-05-03       Impact factor: 2.395

8.  Monitoring pregnant women's illicit opiate and cocaine use with sweat testing.

Authors:  Bertrand R Brunet; Allan J Barnes; Robin E Choo; Patrick Mura; Hendre E E Jones; Marilyn A Huestis
Journal:  Ther Drug Monit       Date:  2010-02       Impact factor: 3.681

9.  Development and validation of a disk solid phase extraction and gas chromatography-mass spectrometry method for MDMA, MDA, HMMA, HMA, MDEA, methamphetamine and amphetamine in sweat.

Authors:  Bruno S De Martinis; Allan J Barnes; Karl B Scheidweiler; Marilyn A Huestis
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2007-02-15       Impact factor: 3.205

10.  Simultaneous liquid chromatography-mass spectrometry quantification of urinary opiates, cocaine, and metabolites in opiate-dependent pregnant women in methadone-maintenance treatment.

Authors:  Diaa M Shakleya; Riet Dams; Robin E Choo; Hendree Jones; Marilyn A Huestis
Journal:  J Anal Toxicol       Date:  2010 Jan-Feb       Impact factor: 3.367

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