Literature DB >> 18029115

The SRPHK1 outcome measure for cocaine-dependence trials combines self-report, urine benzoylecgonine levels, and the concordance between the two to determine a cocaine-use status for each study day.

Eugene Somoza1, Peggy Somoza, Daniel Lewis, Shou-Hua Li, Theresa Winhusen, Nora Chiang, Frank Vocci, Paul Horn, Ahmed Elkashef.   

Abstract

BACKGROUND: There is currently no FDA-approved medication for cocaine dependence and no standard primary outcome measure for reduction of cocaine use in cocaine-dependence trials. The ability to detect a significant medication effect will depend, in part, on the primary outcome measure utilized. The goal of the present paper is to compare self-report or either of two urine toxicology measures used alone to a relatively new measure -- the SRPHK1 -- which combines self-report, quantitative urine benzoylecgonine levels, and an estimate of the concordance between the two to determine the cocaine-use status of each study day.
METHOD: Datasets from two separate randomized, placebo-controlled cocaine-dependence trials were used to compare four cocaine-use outcome measures.
RESULTS: The two data sets yielded very similar findings and suggest that the combined measure is associated with significantly fewer missing data than urine toxicology and that estimated cocaine use varied significantly depending on which measure was used, with the lowest use estimate being yielded by self-report, the highest by the two urine toxicology measures evaluated, and an intermediate value obtained using the combined measure. The results also suggest that the concordance between self-report and urine toxicology is around 90% at the beginning of the clinical trial but decreases to around 75% by the end of the trial.
CONCLUSION: By combining the objectivity of urine toxicology with the reduced incidence of missing data characteristic of self-report, the SRPHK1 may provide advantages over self-report or urine toxicology measures used alone. In any case, the SRPHK1 provides an interesting complement to these other outcome measures and may warrant further evaluation.

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Year:  2007        PMID: 18029115     DOI: 10.1016/j.drugalcdep.2007.09.007

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


  10 in total

1.  What happens to agreement over time? A longitudinal study of self-reported substance use compared to saliva toxicological testing among subsidized housing residents.

Authors:  Alexis Rendon; Eun-Young Mun; Emily Spence-Almaguer; Scott T Walters
Journal:  J Subst Abuse Treat       Date:  2019-03-15

2.  Do PTSD symptoms and course predict continued substance use for homeless individuals in contingency management for cocaine dependence?

Authors:  Michelle Nicole Burns; Kenneth A Lehman; Jesse B Milby; Dennis Wallace; Joseph E Schumacher
Journal:  Behav Res Ther       Date:  2010-03-16

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.  A randomized controlled trial of fluoxetine in the treatment of cocaine dependence among methadone-maintained patients.

Authors:  Erin L Winstanley; George E Bigelow; Kenneth Silverman; Rolley E Johnson; Eric C Strain
Journal:  J Subst Abuse Treat       Date:  2011-01-26

5.  Temporal and gender trends in concordance of urine drug screens and self-reported use in cocaine treatment studies.

Authors:  Megan S Schuler; William V Lechner; Rickey E Carter; Robert Malcolm
Journal:  J Addict Med       Date:  2009-12       Impact factor: 3.702

6.  Determining the primary endpoint for a stimulant abuse trial: lessons learned from STRIDE (CTN 0037).

Authors:  Madhukar H Trivedi; Tracy L Greer; Jennifer Sharpe Potter; Bruce D Grannemann; Edward V Nunes; Chad Rethorst; Diane Warden; Kolette M Ring; Eugene Somoza
Journal:  Am J Drug Alcohol Abuse       Date:  2011-09       Impact factor: 3.829

7.  Assessing drug use during follow-up: direct comparison of candidate outcome definitions in pooled analyses of addiction treatment studies.

Authors:  Jeffrey E Korte; Kathryn M Magruder; Codruta C Chiuzan; Sarah L Logan; Therese Killeen; Dipankar Bandyopadhyay; Kathleen T Brady
Journal:  Am J Drug Alcohol Abuse       Date:  2011-09       Impact factor: 3.829

8.  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 9.  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

Review 10.  Measures of outcome for stimulant trials: ACTTION recommendations and research agenda.

Authors:  Brian D Kiluk; Kathleen M Carroll; Amy Duhig; Daniel E Falk; Kyle Kampman; Shengan Lai; Raye Z Litten; David J McCann; Ivan D Montoya; Kenzie L Preston; Phil Skolnick; Constance Weisner; George Woody; Redonna Chandler; Michael J Detke; Kelly Dunn; Robert H Dworkin; Joanne Fertig; Jennifer Gewandter; F Gerard Moeller; Tatiana Ramey; Megan Ryan; Kenneth Silverman; Eric C Strain
Journal:  Drug Alcohol Depend       Date:  2015-11-21       Impact factor: 4.492

  10 in total

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