Trends in buprenorphine dosage and days supplied for new treatment episodes for opioid use disorder, 2010-2019.


Journal

Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587

Informations de publication

Date de publication:
01 11 2023
Historique:
received: 26 06 2023
revised: 19 09 2023
accepted: 20 09 2023
medline: 30 10 2023
pubmed: 16 10 2023
entrez: 15 10 2023
Statut: ppublish

Résumé

Buprenorphine reduces risk of opioid overdose mortality. However, its benefits are limited by low retention, particularly in early treatment. Optimizing initial dosage may impact retention. However, little is known about the prescription characteristics of new buprenorphine treatment episodes. In a US sample of commercial and employer-sponsored pharmacy claims, we identified new buprenorphine treatment episodes (days 1-30) from individuals ≥16 years following 90 days without buprenorphine from 2010 to 2019. Outcomes included first prescription average days supplied, first prescription average daily dosage, and average dosage on days 2, 8, 15 and 30. We identified 117,793 new episodes among 96,451 unique individuals. Episodes per 10,000 person-years decreased slightly over time. Stratifying by age, sex and region demonstrated decreasing episodes among individuals ≤34 years and increasing episodes among individuals ≥35 years. From 2010-2019, first prescription average days supplied and daily dosage decreased from 17.1 to 15.3 days and 13.6mg to 11.6mg, respectively. Simultaneously, the proportion of episodes without possession and with dosages <16mg increased across all days and years. By day 30, episodes without buprenorphine possession grew from 27.9% to 30.8% and episodes involving dosages of <16mg grew from 26.4% to 33.4%. We found that buprenorphine dosage and days supplied for new treatment episodes decreased from 2010 to 2019 while buprenorphine possession worsened. Further investigation examining the relationship between buprenorphine dosage and retention in the early treatment period is needed.

Sections du résumé

BACKGROUND
Buprenorphine reduces risk of opioid overdose mortality. However, its benefits are limited by low retention, particularly in early treatment. Optimizing initial dosage may impact retention. However, little is known about the prescription characteristics of new buprenorphine treatment episodes.
METHODS
In a US sample of commercial and employer-sponsored pharmacy claims, we identified new buprenorphine treatment episodes (days 1-30) from individuals ≥16 years following 90 days without buprenorphine from 2010 to 2019. Outcomes included first prescription average days supplied, first prescription average daily dosage, and average dosage on days 2, 8, 15 and 30.
RESULTS
We identified 117,793 new episodes among 96,451 unique individuals. Episodes per 10,000 person-years decreased slightly over time. Stratifying by age, sex and region demonstrated decreasing episodes among individuals ≤34 years and increasing episodes among individuals ≥35 years. From 2010-2019, first prescription average days supplied and daily dosage decreased from 17.1 to 15.3 days and 13.6mg to 11.6mg, respectively. Simultaneously, the proportion of episodes without possession and with dosages <16mg increased across all days and years. By day 30, episodes without buprenorphine possession grew from 27.9% to 30.8% and episodes involving dosages of <16mg grew from 26.4% to 33.4%.
CONCLUSIONS
We found that buprenorphine dosage and days supplied for new treatment episodes decreased from 2010 to 2019 while buprenorphine possession worsened. Further investigation examining the relationship between buprenorphine dosage and retention in the early treatment period is needed.

Identifiants

pubmed: 37839942
pii: S0376-8716(23)01219-X
doi: 10.1016/j.drugalcdep.2023.110981
pmc: PMC10615721
mid: NIHMS1932796
pii:
doi:

Substances chimiques

Buprenorphine 40D3SCR4GZ
Analgesics, Opioid 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

110981

Subventions

Organisme : NIDA NIH HHS
ID : K08 DA058052
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

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Auteurs

Alyssa Shell Tilhou (AS)

Department of Family Medicine, Boston Medical Center, 771 Albany St., Dowling 5 South, Boston, MA 02118, United States; Boston University Chobanian & Avedisian School of Medicine, 72 East Concord St., Boston, MA 02118, United States. Electronic address: Alyssa.tilhou@bmc.org.

Eleanor Murray (E)

Department of Epidemiology, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, United States.

Jiayi Wang (J)

Boston Medical Center, One Boston Medical Center Place, Boston, MA 02118, United States.

Benjamin P Linas (BP)

Boston University Chobanian & Avedisian School of Medicine, 72 East Concord St., Boston, MA 02118, United States; Section of Infectious Diseases, Boston Medical Center, 725 Albany St 9th Floor, Boston, MA 02118, United States.

Laura White (L)

Department of Biostatistics, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, United States.

Jeffrey H Samet (JH)

Boston University Chobanian & Avedisian School of Medicine, 72 East Concord St., Boston, MA 02118, United States; Section of General Internal Medicine, Boston Medical Center, 801 Massachusetts Ave 6th Floor, Boston, MA 02118, United States.

Marc LaRochelle (M)

Boston University Chobanian & Avedisian School of Medicine, 72 East Concord St., Boston, MA 02118, United States; Section of General Internal Medicine, Boston Medical Center, 801 Massachusetts Ave 6th Floor, Boston, MA 02118, United States.

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Classifications MeSH