Literature DB >> 10669061

Drug use, self report and urinalysis.

B Kilpatrick1, M Howlett, P Sedgwick, A H Ghodse.   

Abstract

Stimulated by the ever present demand to consider the financial implications in management decisions, this study examines the use of urinalysis and self-report in the treatment of drug users, to question if urinalysis, rather than being a routine investigation, could be used with greater discrimination without jeopardising its effectiveness. It concludes that urinalysis remains of importance, as an adjunct to self-report, in providing information and in the treatment of drug users. Suggestions are made as to how it might be used more selectively in treatment based on a clinical knowledge of individual patients and their progress in treatment. However further research is needed to support and define this more clearly.

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Year:  2000        PMID: 10669061     DOI: 10.1016/s0376-8716(99)00066-6

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  14 in total

1.  Using bayesian models to assess the effects of under-reporting of cannabis use on the association with birth defects, national birth defects prevention study, 1997-2005.

Authors:  Marleen M H J van Gelder; A Rogier T Donders; Owen Devine; Nel Roeleveld; Jennita Reefhuis
Journal:  Paediatr Perinat Epidemiol       Date:  2014-08-26       Impact factor: 3.980

2.  Discrepancies between self-report and objective measures for stimulant drug use in HIV: cognitive, medication adherence and psychological correlates.

Authors:  M J Reinhard; C H Hinkin; T R Barclay; A J Levine; S Marion; S A Castellon; D Longshore; T Newton; R S Durvasula; M N Lam; H Myers
Journal:  Addict Behav       Date:  2007-04-14       Impact factor: 3.913

3.  Drug use and medication adherence among HIV-1 infected individuals.

Authors:  Charles H Hinkin; Terry R Barclay; Steven A Castellon; Andrew J Levine; Ramani S Durvasula; Sarah D Marion; Hector F Myers; Douglas Longshore
Journal:  AIDS Behav       Date:  2007-03

4.  Making (up) the grade? estimating the genetic and environmental influences of discrepancies between self-reported grades and official GPA scores.

Authors:  Joseph A Schwartz; Kevin M Beaver
Journal:  J Youth Adolesc       Date:  2014-09-10

5.  Comparison Between Urinalysis Results and Self-Reported Heroin Use Among Patients Undergoing Methadone Maintenance Treatment in China.

Authors:  Li Li; Li-Jung Liang; Chunqing Lin; Nan Feng; Zunyou Wu
Journal:  Subst Use Misuse       Date:  2017-03-27       Impact factor: 2.164

6.  Self-report of illicit substance use versus urine toxicology results from at-risk pregnant women.

Authors:  Kimberly A Yonkers; Heather B Howell; Nathan Gotman; Bruce J Rounsaville
Journal:  J Subst Use       Date:  2011-10-01

7.  Conflicts among CMHC clinicians over the role of urine drug testing.

Authors:  Debra S Srebnik; Michael G McDonell; Richard K Ries; Graydon Andrus
Journal:  Psychiatr Serv       Date:  2014-05-01       Impact factor: 3.084

8.  Bridging waitlist delays with interim buprenorphine treatment: initial feasibility.

Authors:  Stacey C Sigmon; Andrew C Meyer; Bryce Hruska; Taylor Ochalek; Gail Rose; Gary J Badger; John R Brooklyn; Sarah H Heil; Stephen T Higgins; Brent A Moore; Robert P Schwartz
Journal:  Addict Behav       Date:  2015-07-29       Impact factor: 3.913

9.  Cannabis and benzodiazepines as determinants of methadone trough plasma concentration variability in maintenance treatment: a transnational study.

Authors:  Richard Hallinan; Séverine Crettol; Kingsley Agho; John Attia; Jacques Besson; Marina Croquette-Krokar; Robert Hämmig; Jean-Jacques Déglon; Andrew Byrne; John Ray; Andrew A Somogyi; Chin B Eap
Journal:  Eur J Clin Pharmacol       Date:  2009-07-29       Impact factor: 2.953

10.  Concordance between self-report and urine drug screen data in adolescent opioid dependent clinical trial participants.

Authors:  Claire E Wilcox; Michael P Bogenschutz; Masato Nakazawa; George Woody
Journal:  Addict Behav       Date:  2013-06-13       Impact factor: 3.913

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