Evidence map›Paper›PMID 35138549›Full record

ArticleInternal and emergency medicine2022

Understanding and co-managing medication treatment options for opioid use disorder.

Abigail Kay, Rachel Shmuts, Melanie Beck

Abstract read
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

3 authors at 3 institutions in 1 country.

Abigail KayDepartment of Psychiatry and Human Behavior-Division of Substance Abuse, The Sidney Kimmel Medical College at Thomas Jefferson University, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Rachel ShmutsDepartment of Psychiatry, Rowan University School of Osteopathic Medicine, Mount Laurel, NJ, USA. schatzrl@rowan.edu.ORCID http://orcid.org/0000-0002-8882-8122
Melanie BeckCooper Medical School of Rowan University at AtlantiCare Regional Medical Center, Atlantic City, NJ, USA.
Cooper Medical School of Rowan University · USRowan University · USThomas Jefferson University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of patients with opioid use disorder (OUD) has increased dramatically. Substance use disorders in general are thought to occur in one in five patients in primary care. However, despite this prevalence, there is a dearth of training in undergraduate and continuing medical education to manage OUDs, and internal medicine doctors need to have an understanding of the basic physiology and treatment options for this illness. Expanding knowledge of OUD treatments will allow internists to use their skills and strong patient-doctor relationships to ensure the trust of their patients with OUD, leading to better outcomes and increased chances of recovery. It will also allow clinicians to appropriately refer their patients for lifesaving specialized care and help them prevent dangerous medical complications often seen as a result of addiction. There are three FDA-approved medications to treat OUD disorder, known collectively as medication-assisted treatment (MAT). In this paper, the three medications-methadone, naltrexone, and buprenorphine-are presented, compared, contrasted, and clinically reviewed.

Indexed as

BuprenorphineOpioid-Related DisordersAnalgesics, OpioidHumansMethadoneNaltrexoneOpiate Substitution TreatmentAnalgesics, OpioidBuprenorphineMethadoneNaltrexoneBuprenorphineMedication-assisted treatmentMethadoneNaltrexoneOpioid use disorder

Identifiers

PMID35138549
OpenAlexW4210886940

What OpenQuestion holds

Textmetadata
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.