Evidence map›Paper›PMID 37485957›Full record

ArticlePharmacology research & perspectives2023

An analysis of patterns of distribution of buprenorphine in the United States using ARCOS, Medicaid, and Medicare databases.

Zhi-Shan Hsu, Justina A Warnick, Tice R Harkins, Briana E Sylvester, Neal K Bharati, leTausjua B Eley, Stephanie D Nichols, Kenneth McCall, Brian J Piper

Abstract read
In one paragraph

Article in Pharmacology research & perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zhi-Shan HsuDepartment of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA.
Justina A WarnickDepartment of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA.ORCID 0000-0001-9986-1035
Tice R HarkinsDepartment of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA.
Briana E SylvesterDepartment of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA.
Neal K BharatiDepartment of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA.
leTausjua B EleyDepartment of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA.
Stephanie D NicholsDepartment of Pharmacy Practice, University of New England, Portland, Maine, USA.ORCID 0000-0001-9035-5953
Kenneth McCallDepartment of Pharmacy Practice, Binghamton University, Binghamton, New York, USA.ORCID 0000-0001-7971-9322
Brian J PiperDepartment of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA.ORCID 0000-0002-2295-445X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opioid overdose remains a problem in the United States despite pharmacotherapies, such as buprenorphine, in the treatment of opioid use disorder. This study characterized changes in buprenorphine use. Using the Drug Enforcement Administration's ARCOS, Medicaid, and Medicare claims databases, patterns in buprenorphine usage in the United States from 2018 to 2020 were analyzed by examining percentage changes in total grams distributed and changes in grams per 100 K people in year-to-year usage based on ZIP code and state levels. For ARCOS from 2018 to 2019 and 2019 to 2020, total buprenorphine distribution in grams increased by 16.2% and 12.6%, respectively. South Dakota showed the largest statewide percentage increase in both 2018-2019 (66.1%) and 2019-2020 (36.7%). From 2018 to 2019, the ZIP codes ND-577 (156.4%) and VA-222 (-82.1%) had the largest and smallest percentage changes, respectively. From 2019 to 2020, CA-932 (250.2%) and IL-603 (-36.8%) were the largest and smallest, respectively. In both 2018-2019 and 2019-2020, PA-191 had the second highest increase in grams per 100K while OH-452 was the only ZIP code to remain in the top three largest decreases in grams per 100K in both periods. Among Medicaid patients in 2018, there was a nearly 2000-fold difference in prescriptions per 100k Medicaid enrollees between Kentucky (12 075) and Nebraska (6). Among Medicare enrollees in 2018, family medicine physicians and other primary care providers were the top buprenorphine prescribers. This study not only identified overall increases in buprenorphine availability but also pronounced state-level differences. Such geographic analysis can be used to discern which public policies and regional factors impact buprenorphine access.

Indexed as

BuprenorphineOpioid-Related DisordersAgedHumansMedicaidMedicareOpiate Substitution TreatmentUnited StatesBuprenorphineaddictiongeographic analysisopiateopioid

Identifiers

PMID37485957
PMCPMC10364307

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.