Evidence map›Paper›PMID 22424657›Full record

ArticleAnnals of emergency medicine2012

Alcohol and drug use disorders among adults in emergency department settings in the United States.

Li-Tzy Wu, Marvin S Swartz, Zunyou Wu, Paolo Mannelli, Chongming Yang, Dan G Blazer

Open access · greenAbstract read
In one paragraph

Article in Annals of emergency medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Short-term Efficacy of a Brief Intervention to Reduce Drug Misuse and Increase Drug Treatment Utilization Among Adult Emergency Department Patients.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2015
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Distress tolerance among emergency department patients in acute pain: Associations with substance use treatment.Stress and health : journal of the International Society for the Investigation of Stress · 2021
    Article
  17. Targeted HIV screening in the emergency department.Internal and emergency medicine · 2021
    Review
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA. litzy.wu@duke.edu
Marvin S Swartz
Zunyou Wu
Paolo Mannelli
Chongming Yang
Dan G Blazer
Duke University Hospital · USDuke Medical Center · USSocial Science Research Council · US

Funding

MDMA and Other Hallucinogen Use: Onset and Abuse/DependenceR01DA019623 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2013
$1.1M
Classification of Substance Use Severity and Treatment Outcomes: NIDA CTN StudiesR33DA027503 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2010 to 2012
$1.1M
Epdemiology of Non-Medical Prescription Anagesic UseR01DA019901 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2009
$416k
Classification of Substance Use Severity and Treatment Outcomes: NIDA CTN StudiesR21DA027503 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2009 to 2009
$302k
NIDA NIH HHS R01 DA019623NIDA NIH HHS R01DA019623NIDA NIH HHS R01 DA019901NIDA NIH HHS R01DA019901NIDA NIH HHS R21 DA027503NIDA NIH HHS R21DA027503NIDA NIH HHS R33 DA027503NIDA NIH HHS R33DA027503PHS HHS HSN271200522071C
6 · The paper itself

Abstract

STUDY

objectiveImproving identification and treatment for substance use disorders is a national priority, but data about various drug use disorders encountered in emergency departments (EDs) are lacking. We examine past-year substance use and substance use disorders (alcohol, 9 drug classes) among adult ED users. Prevalences of substance use and substance use disorders among ED nonusers are calculated for reference purposes.

methodsUsing data from the 2007 to 2009 National Surveys on Drug Use and Health, we assessed substance use disorders among noninstitutionalized adults aged 18 years or older who responded to standardized survey questions administered by audio computer-assisted self-interviewing methods.

resultsOf all adults (N=113,672), 27.8% used the ED in the past year. ED users had higher prevalences than ED nonusers of coexisting alcohol and drug use (15.2% versus 12.1%), drug use (any drug, 16.9% versus 13.0%; marijuana, 12.1% versus 9.7%; opioids, 6.6% versus 4.1%), and alcohol or drug disorders (11.0% versus 8.5%). Among substance users, the ED group on average spent more days using drugs than the non-ED group; ED users manifested higher conditional rates of substance use disorders than ED nonusers (alcohol or drugs, 15.9% versus 11.7%; marijuana, 16.6% versus 13.2%; cocaine, 33.2% versus 22.3%; opioids, 20.6% versus 10.0%; stimulants, 18.6% versus 9.2%; sedatives, 35.0% versus 4.4%; tranquilizers, 12.4% versus 5.2%). Regardless of ED use status, substance-using young adults, men, and less-educated adults showed increased odds of having a substance use disorder.

conclusionDrug use is prevalent and combined with high rates of drug use disorders among drug users treated in the ED.

Indexed as

AdolescentAdultAgedAge FactorsAlcoholismChi-Square DistributionCross-Sectional StudiesEducational StatusEmergency Service, HospitalFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceRacial Groups

Identifiers

PMID22424657
PMCPMC3388174
OpenAlexW2008018650

What OpenQuestion holds

Textmetadata
LicenceTDM
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.