PMID- 32135429 OWN - NLM STAT- MEDLINE DCOM- 20210112 LR - 20231103 IS - 1879-0046 (Electronic) IS - 0376-8716 (Print) IS - 0376-8716 (Linking) VI - 209 DP - 2020 Apr 1 TI - Parallel modeling of pain and depression in prediction of relapse during buprenorphine and naloxone treatment: A finite mixture model. PG - 107940 LID - S0376-8716(20)30105-8 [pii] LID - 10.1016/j.drugalcdep.2020.107940 [doi] AB - BACKGROUND: Relapse is common in treatment for opioid use disorders (OUDs). Pain and depression often co-occur during OUD treatment, yet little is known about how they influence relapse among patients with a primary diagnosis of prescription opioid use disorder (POUD). Advanced statistical analyses that can simultaneously model these two conditions may lead to targeted clinical interventions. METHOD: The objective of this study was to utilize a discrete survival analysis with a growth mixture model to test time to prescription opioid relapse, predicted by parallel growth trajectories of depression and pain, in a clinical sample of patients in buprenorphine/naloxone treatment. The latent class analysis characterized heterogeneity with data collected from the National Institute of Drug Abuse Clinical Trials Network project (CTN-0030). RESULTS: Results suggested that a 4-class solution was the most parsimonious based on global fit indices and clinical relevance. The 4 classes identified were: 1) low relapse, 2) high depression and moderate pain, 3) high pain, and 4) high relapse. Odds ratios for time-to-first use indicated no statistically significant difference in time to relapse between the high pain and the high depression classes, but all other classes differed significantly. CONCLUSION: This is the first longitudinal study to characterize the influence of pain, depression, and relapse in patients receiving buprenorphine and naloxone treatment. These results emphasize the need to monitor the influence of pain and depression during stabilization on buprenorphine and naloxone. Future work may identify appropriate interventions that can be introduced to extend time-to-first prescription opioid use among patients. CI - Copyright (c) 2020 Elsevier B.V. All rights reserved. FAU - Vest, Noel A AU - Vest NA AD - Washington State University, Department of Psychology, Pullman, WA 99164-4820, United States. Electronic address: noelvest@stanford.edu. FAU - McPherson, Sterling AU - McPherson S AD - Washington State University, Elson S. Floyd College of Medicine, Analytics & Psychopharmacology Laboratory (APPL), 412 E. Spokane Falls Blvd. Spokane, WA 99202-2131, United States. Electronic address: sterling.mcpherson@wsu.edu. FAU - Burns, G Leonard AU - Burns GL AD - Washington State University, Department of Psychology, Pullman, WA 99164-4820, United States. Electronic address: glburns@wsu.edu. FAU - Tragesser, Sarah AU - Tragesser S AD - Washington State University, Department of Psychology, Pullman, WA 99164-4820, United States. Electronic address: sarah_tragesser@wsu.edu. LA - eng GR - T32 DA035165/DA/NIDA NIH HHS/United States PT - Clinical Trial PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, Non-U.S. Gov't DEP - 20200226 PL - Ireland TA - Drug Alcohol Depend JT - Drug and alcohol dependence JID - 7513587 RN - 0 (Buprenorphine, Naloxone Drug Combination) RN - 0 (Narcotic Antagonists) SB - IM MH - Adult MH - Buprenorphine, Naloxone Drug Combination/*therapeutic use MH - Depression/diagnosis/*drug therapy/epidemiology MH - Female MH - Follow-Up Studies MH - Humans MH - Latent Class Analysis MH - Longitudinal Studies MH - Male MH - Middle Aged MH - Narcotic Antagonists/*therapeutic use MH - Opioid-Related Disorders/diagnosis/*drug therapy/epidemiology MH - Pain/diagnosis/*drug therapy/epidemiology MH - Predictive Value of Tests MH - Recurrence PMC - PMC7173998 MID - NIHMS1570319 OTO - NOTNLM OT - Buprenorphine and naloxone treatment OT - Depression OT - Growth mixture modeling OT - Opioid substitution treatment OT - Pain OT - Prescription opioid use disorder OT - Survival COIS- Declaration of Competing Interest The authors report no conflicts of interest. EDAT- 2020/03/07 06:00 MHDA- 2021/01/13 06:00 PMCR- 2021/04/01 CRDT- 2020/03/06 06:00 PHST- 2019/10/25 00:00 [received] PHST- 2020/02/17 00:00 [revised] PHST- 2020/02/23 00:00 [accepted] PHST- 2020/03/07 06:00 [pubmed] PHST- 2021/01/13 06:00 [medline] PHST- 2020/03/06 06:00 [entrez] PHST- 2021/04/01 00:00 [pmc-release] AID - S0376-8716(20)30105-8 [pii] AID - 10.1016/j.drugalcdep.2020.107940 [doi] PST - ppublish SO - Drug Alcohol Depend. 2020 Apr 1;209:107940. doi: 10.1016/j.drugalcdep.2020.107940. Epub 2020 Feb 26.