Evidence map›Paper›PMID 35934583›Full record

ArticleThe International journal on drug policy2022

Has the treatment gap for opioid use disorder narrowed in the U.S.?: A yearly assessment from 2010 to 2019".

Noa Krawczyk, Bianca D Rivera, Victoria Jent, Katherine M Keyes, Christopher M Jones, Magdalena Cerdá

Open access · hybridAbstract read
In one paragraph

Article in The International journal on drug policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
195citing papers in PubMed, 3 pooled it
55.3field-weighted citation impact, top 1% of its field
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

195 citing papers in PubMed, 3 syntheses or guidelines pooled it, 291 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

135 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Noa KrawczykCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States. Electronic address: Noa.krawczyk@nyulangone.org.
Bianca D RiveraCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
Victoria JentCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, United States.
Christopher M JonesNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Magdalena CerdáCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
New York University · USCenters for Disease Control and Prevention · USColumbia University · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThe United States overdose crisis continues unabated. Despite efforts to increase capacity for treating opioid use disorder (OUD) in the U.S., how actual treatment receipt compares to need remains unclear. In this cross-sectional study, we estimate progress in addressing the gap between OUD prevalence and OUD treatment receipt at the national and state levels from 2010 to 2019.

methodsWe estimated past-year OUD prevalence rates based on the U.S. National Survey on Drug Use and Health (NSDUH), using adjustment methods that attempt to account for OUD underestimation in national household surveys. We used data from specialty substance use treatment records and outpatient pharmacy claims to estimate the gap between OUD prevalence and number of persons receiving medications for opioid use disorder (MOUD) during the past decade.

resultsAdjusted estimates suggest past-year OUD affected 7,631,804 individuals in the U.S. in (2,773 per 100,000 adults 12+), relative to only 1,023,959 individuals who received MOUD (365 per 100,000 adults 12+). This implies approximately 86.6% of individuals with OUD nationwide who may benefit from MOUD treatment do not receive it. MOUD receipt increased across states over the past decade, but most regions still experience wide gaps between OUD prevalence and MOUD receipt.

conclusionsDespite some progress in expanding access to MOUD, a substantial gap between OUD prevalence and treatment receipt highlights the critical need to increase access to evidence-based services.

Indexed as

BuprenorphineDrug OverdoseOpioid-Related DisordersAdultAnalgesics, OpioidCross-Sectional StudiesHumansOpiate Substitution TreatmentUnited StatesAnalgesics, OpioidBuprenorphineBuprenorphineMedications for opioid use disorderMethadoneOpioid use disorderoverdoseTreatment gap

Identifiers

PMID35934583
PMCPMC10976290
OpenAlexW4289841403

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.