Examination of Correlates of OUD Outcomes in Young Adults: Secondary Analysis From the XBOT Trial.


Journal

The American journal on addictions
ISSN: 1521-0391
Titre abrégé: Am J Addict
Pays: England
ID NLM: 9208821

Informations de publication

Date de publication:
09 2021
Historique:
revised: 16 04 2021
received: 31 12 2020
accepted: 16 04 2021
pubmed: 3 6 2021
medline: 26 11 2021
entrez: 2 6 2021
Statut: ppublish

Résumé

Opioid use disorder (OUD) treatment outcomes are poorer for young adults than older adults. Developmental differences are broadly implicated, but particular vulnerability factor interactions are poorly understood. This study sought to identify moderators of OUD relapse between age groups. This secondary analysis compared young adults (18-25) to older adults (26+) from a comparative effectiveness trial ("XBOT") that randomized (N = 570) participants to extended-release naltrexone or sublingual buprenorphine-naloxone. We explored the relationship between 25 prespecified patient baseline characteristics and relapse to regular opioid use by age group and treatment condition, using logistic regression. Young adults (n = 111) had higher rates of 24-week relapse than older adults (n = 459) (70.3% vs 58.8%) and differed on a number of specific characteristics, including more smokers, more intravenous opioid use, and more cannabis use. No significant moderators predicted relapse, in either three-way or two-way interactions. No baseline factors were identified as moderating the relationship between age group and opioid relapse, nor any interactions between baseline characteristics, age group, and treatment condition to predict opioid relapse. Poorer treatment outcomes for young adults are likely associated with multiple developmental vulnerabilities rather than any single predominant factor. Although not reaching significance, several characteristics (using heroin, smoking tobacco, high levels of depression/anxiety, or treatment because of family/friends) showed higher odds ratio point estimates for relapse in young adults than older adults. This is the first study to explore moderators of worse OUD treatment outcomes in young adults, highlighting the need to identify predictor variables that could inform treatment enhancements. (Am J Addict 2021;00:1-12).

Sections du résumé

BACKGROUND AND OBJECTIVES
Opioid use disorder (OUD) treatment outcomes are poorer for young adults than older adults. Developmental differences are broadly implicated, but particular vulnerability factor interactions are poorly understood. This study sought to identify moderators of OUD relapse between age groups.
METHODS
This secondary analysis compared young adults (18-25) to older adults (26+) from a comparative effectiveness trial ("XBOT") that randomized (N = 570) participants to extended-release naltrexone or sublingual buprenorphine-naloxone. We explored the relationship between 25 prespecified patient baseline characteristics and relapse to regular opioid use by age group and treatment condition, using logistic regression.
RESULTS
Young adults (n = 111) had higher rates of 24-week relapse than older adults (n = 459) (70.3% vs 58.8%) and differed on a number of specific characteristics, including more smokers, more intravenous opioid use, and more cannabis use. No significant moderators predicted relapse, in either three-way or two-way interactions.
CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE
No baseline factors were identified as moderating the relationship between age group and opioid relapse, nor any interactions between baseline characteristics, age group, and treatment condition to predict opioid relapse. Poorer treatment outcomes for young adults are likely associated with multiple developmental vulnerabilities rather than any single predominant factor. Although not reaching significance, several characteristics (using heroin, smoking tobacco, high levels of depression/anxiety, or treatment because of family/friends) showed higher odds ratio point estimates for relapse in young adults than older adults. This is the first study to explore moderators of worse OUD treatment outcomes in young adults, highlighting the need to identify predictor variables that could inform treatment enhancements. (Am J Addict 2021;00:1-12).

Identifiants

pubmed: 34075644
doi: 10.1111/ajad.13176
pmc: PMC8429062
mid: NIHMS1701723
doi:

Substances chimiques

Analgesics, Opioid 0
Buprenorphine, Naloxone Drug Combination 0
Delayed-Action Preparations 0
Naltrexone 5S6W795CQM

Banques de données

ClinicalTrials.gov
['NCT02032433']

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

433-444

Subventions

Organisme : NIDA NIH HHS
ID : UG1 DA015831
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013046
Pays : United States
Organisme : NIDA NIH HHS
ID : UG1 DA013732
Pays : United States
Organisme : NIDA NIH HHS
ID : UG1 DA013714
Pays : United States
Organisme : NIDA NIH HHS
ID : UG1/ U10DA013035
Pays : United States
Organisme : NIDA NIH HHS
ID : UG1 DA013035
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013732
Pays : United States
Organisme : NIDA NIH HHS
ID : UG1/U10DA013034
Pays : United States
Organisme : National Center on Integrative and Complimentary Health
ID : AT010614
Organisme : NIDA NIH HHS
ID : U10DA013046
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA015833
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013720
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA015831
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013035
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013714
Pays : United States
Organisme : NCCIH NIH HHS
ID : R61 AT010614
Pays : United States
Organisme : NIDA NIH HHS
ID : UG1 DA013720
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013045
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013034
Pays : United States

Informations de copyright

© 2021 American Academy of Addiction Psychiatry.

Références

Exp Clin Psychopharmacol. 2008 Dec;16(6):484-97
pubmed: 19086769
Addiction. 2021 Apr;116(4):865-873
pubmed: 32770757
Am J Psychiatry. 2021 Jul;178(7):660-671
pubmed: 34170188
MMWR Morb Mortal Wkly Rep. 2018 Jan 04;67(5152):1419-1427
pubmed: 30605448
Lancet. 2018 Jan 27;391(10118):309-318
pubmed: 29150198
J Child Adolesc Subst Abuse. 2018;27(4):211-226
pubmed: 30524179
Drug Alcohol Depend. 2006 Feb 28;81(3):313-22
pubmed: 16171953
Subst Abus. 2016 Jul-Sep;37(3):392-397
pubmed: 26820059
J Subst Abuse Treat. 2014 Sep;47(3):202-12
pubmed: 24953168
JAMA Psychiatry. 2019 Feb 1;76(2):208-216
pubmed: 30516809
Contemp Clin Trials. 2016 Sep;50:253-64
pubmed: 27521809
Addiction. 2010 Sep;105(9):1669-76
pubmed: 20626723
Addiction. 2010 Apr;105(4):686-98
pubmed: 20403020
Am J Addict. 2016 Dec;25(8):603-609
pubmed: 28051841
J Consult Clin Psychol. 2000 Oct;68(5):818-29
pubmed: 11068968
Neurosci Biobehav Rev. 2016 Dec;71:772-801
pubmed: 27793597
Am Psychol. 2000 May;55(5):469-80
pubmed: 10842426
J Subst Abuse Treat. 2021 Oct;129:108402
pubmed: 34080559
Addiction. 2003 Apr;98(4):453-62
pubmed: 12653815
Psychiatr Serv. 2005 Aug;56(8):946-53
pubmed: 16088011
Am J Drug Alcohol Abuse. 2018;44(2):143-146
pubmed: 29190156
Addict Biol. 2009 Jan;14(1):22-31
pubmed: 18855805
J Subst Abuse Treat. 2004 Jun;26(4):313-8
pubmed: 15182896
Subst Abuse Treat Prev Policy. 2016 Nov 29;11(1):38
pubmed: 27894311
Addict Behav. 2012 Sep;37(9):1046-53
pubmed: 22626890
Am J Addict. 2004 May-Jun;13(3):256-67
pubmed: 15370945
Am J Drug Alcohol Abuse. 2006;32(4):503-17
pubmed: 17127538
Subst Use Misuse. 2014 Feb;49(3):303-14
pubmed: 24041131
Contemp Clin Trials. 2016 Nov;51:34-43
pubmed: 27687743
JAMA Pediatr. 2018 Nov 1;172(11):1029-1037
pubmed: 30208470
Am J Drug Alcohol Abuse. 2018;44(2):147-150
pubmed: 28920715
J Addict Med. 2014 May-Jun;8(3):176-82
pubmed: 24695018
J Addict Med. 2018 May/Jun;12(3):170-183
pubmed: 29432333
Curr Psychiatry Rep. 2017 Jun;19(6):35
pubmed: 28526967
J Adolesc Health. 2020 Dec;67(6):778-785
pubmed: 32873500
Psychol Addict Behav. 2007 Jun;21(2):266-271
pubmed: 17563150

Auteurs

Marc Fishman (M)

Mountain Manor Treatment Center/Maryland Treatment Centers, Baltimore, Maryland.
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Kevin Wenzel (K)

Mountain Manor Treatment Center/Maryland Treatment Centers, Baltimore, Maryland.

Jennifer Scodes (J)

Division of Mental Health Data Science, New York State Psychiatric Institute, New York, New York.

Martina Pavlicova (M)

Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.

Aimee N C Campbell (ANC)

Department of Psychiatry, Columbia University Irving Medical Center, Columbia University Medical Center, New York State Psychiatric Institute, New York, New York.

John Rotrosen (J)

Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, New York.

Edward Nunes (E)

Department of Psychiatry, Columbia University Irving Medical Center, Columbia University Medical Center, New York State Psychiatric Institute, New York, New York.

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Classifications MeSH