Literature DB >> 18000286

Rational use and interpretation of urine drug testing in chronic opioid therapy.

Gary M Reisfield1, Elaine Salazar, Roger L Bertholf.   

Abstract

Urine drug testing (UDT) has become an essential feature of pain management, as physicians seek to verify adherence to prescribed opioid regimens and to detect the use of illicit or unauthorized licit drugs. Results of urine drug tests have important consequences in regard to therapeutic decisions and the trust between physician and patient. However, reliance on UDT to confirm adherence can be problematic if the results are not interpreted correctly, and evidence suggests that many physicians lack an adequate understanding of the complexities of UDT and the factors that can affect test results. These factors include metabolic conversion between drugs, genetic variations in drug metabolism, the sensitivity and specificity of the analytical method for a particular drug or metabolite, and the effects of intentional and unintentional interferants. In this review, we focus on the technical features and limitations of analytical methods used for detecting drugs or their metabolites in urine, the statistical constructs that are pertinent to ordering UDT and interpreting test results, and the application of these concepts to the clinical monitoring of patients maintained on chronic opioid therapy.

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Year:  2007        PMID: 18000286

Source DB:  PubMed          Journal:  Ann Clin Lab Sci        ISSN: 0091-7370            Impact factor:   1.256


  16 in total

1.  Dietary Intake Among Opioid- and Alcohol-Using Pregnant Women.

Authors:  Shikhar Shrestha; Elizabeth Jimenez; Laura Garrison; Peter Pribis; Dennis W Raisch; Julia M Stephen; Ludmila N Bakhireva
Journal:  Subst Use Misuse       Date:  2017-02-22       Impact factor: 2.164

Review 2.  Opioid metabolism.

Authors:  Howard S Smith
Journal:  Mayo Clin Proc       Date:  2009-07       Impact factor: 7.616

3.  Validity of Self-Reported Drug Use Information Among Pregnant Women.

Authors:  Mahek Garg; Laura Garrison; Lawrence Leeman; Ajna Hamidovic; Matthew Borrego; William F Rayburn; Ludmila Bakhireva
Journal:  Matern Child Health J       Date:  2016-01

4.  Erratum To: Implementation of a Blind Quality Control Program in Blood Alcohol Analysis.

Authors:  Jackeline Moral; Callan Hundl; Dayong Lee; Maddisen Neuman; Aimee Grimaldi; Maria Cuellar; Peter Stout
Journal:  J Anal Toxicol       Date:  2021-05-14       Impact factor: 3.367

Review 5.  Review of the Current State of Urine Drug Testing in Chronic Pain: Still Effective as a Clinical Tool and Curbing Abuse, or an Arcane Test?

Authors:  Krishnan Chakravarthy; Aneesh Goel; George M Jeha; Alan David Kaye; Paul J Christo
Journal:  Curr Pain Headache Rep       Date:  2021-02-17

Review 6.  Laboratory testing for prescription opioids.

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

7.  Toxicologic testing for opiates: understanding false-positive and false-negative test results.

Authors:  Christopher J Keary; Ying Wang; Jonathan R Moran; Lazaro V Zayas; Theodore A Stern
Journal:  Prim Care Companion CNS Disord       Date:  2012-07-26

8.  Evaluating brief screeners to discriminate between drug use disorders in a sample of treatment-seeking adults.

Authors:  Li-Tzy Wu; Marvin S Swartz; Jeng-Jong Pan; Bruce Burchett; Paolo Mannelli; Chongming Yang; Dan G Blazer
Journal:  Gen Hosp Psychiatry       Date:  2012-07-21       Impact factor: 3.238

9.  They don't know what they don't know: internal medicine residents' knowledge and confidence in urine drug test interpretation for patients with chronic pain.

Authors:  Joanna L Starrels; Aaron D Fox; Hillary V Kunins; Chinazo O Cunningham
Journal:  J Gen Intern Med       Date:  2012-07-20       Impact factor: 5.128

10.  Chronic opioid therapy risk reduction initiative: impact on urine drug testing rates and results.

Authors:  Judith A Turner; Kathleen Saunders; Susan M Shortreed; Suzanne E Rapp; Stephen Thielke; Linda LeResche; Kim M Riddell; Michael Von Korff
Journal:  J Gen Intern Med       Date:  2013-10-19       Impact factor: 5.128

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