Literature DB >> 31108264

The chippers, the quitters, and the highly symptomatic: A 12-month longitudinal study of DSM-5 opioid- and cocaine-use problems in a community sample.

Samuel W Stull1, Leigh V Panlilio2, Landhing M Moran2, Jennifer R Schroeder3, Jeremiah W Bertz2, David H Epstein2, Kenzie L Preston2, Karran A Phillips2.   

Abstract

BACKGROUND: Individual trajectories of drug use and drug-related problems are highly heterogeneous. There is no standard taxonomy of these trajectories, but one could be developed by defining natural categories based on changes in symptoms of substance-use disorders over time.
METHODS: Our study was conducted in a community sample in Baltimore, Maryland. At baseline, all participants were using opioids and/or cocaine, but none were in treatment. Drug use and symptomatology were assessed again at 12 months (N = 115).
RESULTS: We defined Quitters as participants who had not used for at least 30 days at follow-up (17%). For the remaining participants, we performed longitudinal cluster analysis on DSM symptom-counts, identifying three trajectory clusters: newly or persistently Symptomatic (40%) participants, Chippers (21.5%) with few symptoms, and Converted Chippers (21.5%) with improved symptom counts. Logistic regression showed that profiles of Quitters did not resemble Chippers, but instead resembled Symptomatic participants, having high probability of disorderly home neighborhood, nonwhite race, and negative mood. Quitters tended to have two protective factors: initiating opioid-agonist treatment during the study (reffect = 0.25, CL95 0.02-0.48) and lack of polydrug use (reffect = 0.25, CL95 0.004-0.49). Converted Chippers tended to be white, with orderly home neighborhoods and less negative mood (reffects 0.24 to 0.31, CL95 0.01-0.54).
CONCLUSIONS: Changes in DSM symptomology provided a meaningful measure of individual trajectories. Quitters shared psychosocial characteristics with Symptomatic participants, but not with participants who continued to use with few symptoms. This suggests that Quitters abstained out of necessity, not because their problems were less severe.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cocaine; DSM-5; Opioid; Substance use disorder; Trajectory

Mesh:

Year:  2019        PMID: 31108264      PMCID: PMC6587183          DOI: 10.1016/j.addbeh.2019.04.030

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  37 in total

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8.  Contrasting trajectories of heroin, cocaine, and methamphetamine use.

Authors:  Yih-Ing Hser; David Huang; Mary-Lynn Brecht; Libo Li; Elizabeth Evans
Journal:  J Addict Dis       Date:  2008

9.  Promoting abstinence from cocaine and heroin with a methadone dose increase and a novel contingency.

Authors:  David H Epstein; John Schmittner; Annie Umbricht; Jennifer R Schroeder; Eric T Moolchan; Kenzie L Preston
Journal:  Drug Alcohol Depend       Date:  2008-12-19       Impact factor: 4.492

10.  "Unequal opportunity": neighbourhood disadvantage and the chance to buy illegal drugs.

Authors:  C L Storr; C-Y Chen; J C Anthony
Journal:  J Epidemiol Community Health       Date:  2004-03       Impact factor: 3.710

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  3 in total

1.  Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data.

Authors:  David H Epstein; Matthew Tyburski; William J Kowalczyk; Albert J Burgess-Hull; Karran A Phillips; Brenda L Curtis; Kenzie L Preston
Journal:  NPJ Digit Med       Date:  2020-03-04

2.  Beyond abstinence and relapse: cluster analysis of drug-use patterns during treatment as an outcome measure for clinical trials.

Authors:  Leigh V Panlilio; Samuel W Stull; Jeremiah W Bertz; Albert J Burgess-Hull; William J Kowalczyk; Karran A Phillips; David H Epstein; Kenzie L Preston
Journal:  Psychopharmacology (Berl)       Date:  2020-09-29       Impact factor: 4.530

3.  Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data.

Authors:  David H Epstein; Matthew Tyburski; William J Kowalczyk; Albert J Burgess-Hull; Karran A Phillips; Brenda L Curtis; Kenzie L Preston
Journal:  NPJ Digit Med       Date:  2020-03-04
  3 in total

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