Trajectories of depression among patients in treatment for opioid use disorder: A growth mixture model secondary analysis of 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:
05 2023
Historique:
revised: 21 11 2022
received: 09 08 2022
accepted: 10 12 2022
pmc-release: 01 05 2024
medline: 24 4 2023
pubmed: 17 1 2023
entrez: 16 1 2023
Statut: ppublish

Résumé

To inform clinical practice, we identified subgroups of adults based on levels of depression symptomatology over time during opioid use disorder (OUD) treatment. Participants were 474 adults in a 24-week treatment trial for OUD. Depression symptoms were measured using the 17-item Hamilton Depression Rating Scale (HAM-D) at nine-time points. This was a secondary analysis of the Clinical Trials Network Extended-Release Naltrexone versus Buprenorphine for Opioid Treatment (XBOT) trial using a growth mixture model. Three distinct depression trajectories were identified: Class 1 High Recurring-10% with high HAM-D with initial partial reductions (of HAM-D across time), Class 2 Persistently High-5% with persistently high HAM-D, and Class 3 Low Declining-85% of the participants, with low HAM-D with early sustained reductions. The majority (low declining) had levels of depression that improved in the first 4 weeks and then stabilized across the treatment period. In contrast, 15% (high recurring and persistently high) had high initial levels that were more variable across time. The persistently high class had higher rates of opioid relapse. In this OUD sample, most depressive symptomatology was mild and improved after medication treatment for opioid use disorder (MOUD). Smaller subgroups had higher depressive symptoms that persisted or recurred after the initiation of MOUD. Depressive symptoms should be followed in patients initiating treatment for OUD, and when persistent, should prompt further evaluation and consideration of antidepressant treatment. This study is the first to identify three distinct depression trajectories among a large clinical sample of individuals in MOUD treatment.

Sections du résumé

BACKGROUND AND OBJECTIVES
To inform clinical practice, we identified subgroups of adults based on levels of depression symptomatology over time during opioid use disorder (OUD) treatment.
METHODS
Participants were 474 adults in a 24-week treatment trial for OUD. Depression symptoms were measured using the 17-item Hamilton Depression Rating Scale (HAM-D) at nine-time points. This was a secondary analysis of the Clinical Trials Network Extended-Release Naltrexone versus Buprenorphine for Opioid Treatment (XBOT) trial using a growth mixture model.
RESULTS
Three distinct depression trajectories were identified: Class 1 High Recurring-10% with high HAM-D with initial partial reductions (of HAM-D across time), Class 2 Persistently High-5% with persistently high HAM-D, and Class 3 Low Declining-85% of the participants, with low HAM-D with early sustained reductions. The majority (low declining) had levels of depression that improved in the first 4 weeks and then stabilized across the treatment period. In contrast, 15% (high recurring and persistently high) had high initial levels that were more variable across time. The persistently high class had higher rates of opioid relapse.
DISCUSSION AND CONCLUSIONS
In this OUD sample, most depressive symptomatology was mild and improved after medication treatment for opioid use disorder (MOUD). Smaller subgroups had higher depressive symptoms that persisted or recurred after the initiation of MOUD. Depressive symptoms should be followed in patients initiating treatment for OUD, and when persistent, should prompt further evaluation and consideration of antidepressant treatment.
SCIENTIFIC SIGNIFICANCE
This study is the first to identify three distinct depression trajectories among a large clinical sample of individuals in MOUD treatment.

Identifiants

pubmed: 36645265
doi: 10.1111/ajad.13371
pmc: PMC10332426
mid: NIHMS1858064
doi:

Substances chimiques

Analgesics, Opioid 0
Naltrexone 5S6W795CQM
Buprenorphine 40D3SCR4GZ

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

291-300

Subventions

Organisme : NIDA NIH HHS
ID : U10 DA013046
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013035
Pays : United States
Organisme : NIDA NIH HHS
ID : T32DA035165
Pays : United States
Organisme : NIDA NIH HHS
ID : HHSN271201200017C
Pays : United States
Organisme : NIDA NIH HHS
ID : K01 DA053391
Pays : United States
Organisme : NIDA NIH HHS
ID : K01DA053391
Pays : United States
Organisme : NIDA NIH HHS
ID : K24 DA022412
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA013045
Pays : United States
Organisme : NIDA NIH HHS
ID : U10 DA015833
Pays : United States
Organisme : NIDA NIH HHS
ID : T32 DA035165
Pays : United States
Organisme : NIDA NIH HHS
ID : HHSN271201500065C
Pays : United States
Organisme : NIDA NIH HHS
ID : L30 DA056944
Pays : United States
Organisme : NIDA NIH HHS
ID : UG1DA013035
Pays : United States

Informations de copyright

© 2023 The American Academy of Addiction Psychiatry (AAAP).

Références

Drug Alcohol Depend. 2009 Jul 1;103(1-2):16-24
pubmed: 19414225
Biol Psychiatry. 2004 Nov 15;56(10):793-802
pubmed: 15556125
Am J Psychiatry. 1975 Apr;132(4):447-50
pubmed: 1091161
Annu Rev Clin Psychol. 2010;6:109-38
pubmed: 20192788
JAMA Psychiatry. 2016 Jan;73(1):39-47
pubmed: 26580136
Front Psychiatry. 2019 Jan 10;9:762
pubmed: 30687141
Arch Gen Psychiatry. 1998 Feb;55(2):153-60
pubmed: 9477929
Addiction. 2019 Aug;114(8):1346-1353
pubmed: 30614096
Arch Gen Psychiatry. 1982 Feb;39(2):161-8
pubmed: 7065830
Compr Psychiatry. 1986 Sep-Oct;27(5):480-98
pubmed: 3757496
J Affect Disord. 2022 Feb 15;299:223-232
pubmed: 34871638
NIDA Res Monogr. 1990;105:453-4
pubmed: 1876074
Transl Psychiatry. 2021 May 3;11(1):265
pubmed: 33941761
Aust N Z J Psychiatry. 2018 Aug;52(8):737-750
pubmed: 29466868
Drug Alcohol Depend. 2013 Jul 1;131(1-2):112-8
pubmed: 23333292
Drug Alcohol Depend. 2016 Dec 01;169:117-127
pubmed: 27810654
Am J Drug Alcohol Abuse. 2011 Jan;37(1):22-6
pubmed: 21192125
Clin Psychol Rev. 2021 Jan 24;84:101978
pubmed: 33515811
J Subst Abuse Treat. 2006 Jun;30(4):355-62
pubmed: 16716851
Cochrane Database Syst Rev. 2019 Nov 26;2019(11):
pubmed: 31769015
Am J Addict. 2019 Feb;28(2):77-85
pubmed: 30701613
Drug Alcohol Depend. 2002 Oct 1;68(2):215-20
pubmed: 12234651
J Subst Abuse Treat. 1990;7(1):51-4
pubmed: 2313769
Lancet. 2018 Jan 27;391(10118):309-318
pubmed: 29150198
Ann Med. 2001 Jul;33(5):337-43
pubmed: 11491192
Drug Alcohol Depend. 2020 Apr 1;209:107940
pubmed: 32135429
AIDS Behav. 2021 Jul;25(7):2230-2239
pubmed: 33449236
J Clin Psychiatry. 1982 Nov;43(11):454-6
pubmed: 7174622
J Addict Med. 2020 Mar/Apr;14(2S Suppl 1):1-91
pubmed: 32511106
Forsch Komplementmed. 2012;19(4):191-6
pubmed: 22964985
Am J Psychiatry. 2020 Feb 1;177(2):113-116
pubmed: 32008390
J Affect Disord. 2022 Jan 15;297:148-155
pubmed: 34670131

Auteurs

Noel Vest (N)

Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.

Kevin Wenzel (K)

Department of Research, Maryland Treatment Centers/Mountain Manor Treatment Center, Baltimore, Maryland, USA.

Tse-Hwei Choo (TH)

Department of Psychiatry, Columbia University, New York, New York, USA.

Martina Pavlicova (M)

Department of Psychiatry, Columbia University, New York, New York, USA.

John Rotrosen (J)

Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA.

Edward Nunes (E)

Department of Psychiatry, Columbia University, New York, New York, USA.

Joshua D Lee (JD)

Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA.

Marc Fishman (M)

Department of Research, Maryland Treatment Centers/Mountain Manor Treatment Center, Baltimore, Maryland, USA.
Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH