Evidence map›Paper›PMID 32078975›Full record

ArticleDrug and alcohol dependence2020

Perception of treatment need among adults with substance use disorders: Longitudinal data from a representative sample of adults in the United States.

Scott J Moeller, Jonathan M Platt, Melody Wu, Renee D Goodwin

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Candidate biomarkers in psychiatric disorders: state of the field.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
    Article
  6. Article
  7. Article
  8. The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
  9. Article
  10. Article
  11. 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

4 authors at 3 institutions in 1 country.

Scott J MoellerDepartment of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY 11794, USA. Electronic address: scott.moeller@stonybrookmedicine.edu.
Jonathan M PlattDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Melody WuDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Renee D GoodwinDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY 10027, USA. Electronic address: renee.goodwin@sph.cuny.edu.
Columbia University · USCity University of New York · USStony Brook University · US

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Role of Depression and Anxiety in the Tobacco EpidemicR01DA020892 · NIDA · QUEENS COLLEGE · PI GOODWIN, RENEE D · 2005 to 2017
$2.4M
Genetic markers associated with brain structural abnormalities and drug use in human addictionK01DA037452 · NIDA · STATE UNIVERSITY NEW YORK STONY BROOK · PI MOELLER, SCOTT J · 2015 to 2019
$778k
NIDA NIH HHS K01 DA037452NIDA NIH HHS R01 DA020892NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

backgroundMost individuals with substance use disorders (SUDs) do not seek treatment. Lack of perceived treatment need (PTN) is one contributing factor, but little is known about PTN over time. We estimated whether PTN changed over three years among those with SUDs in the United States and identified select variables, including sociodemographics and symptom burden, that predict malleability vs. stability of PTN.

methodsData were from Waves 1 (collected 2001-2002) and 2 (collected 2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC); 1695 adults who met DSM criteria for alcohol or non-alcohol SUD at Wave 1 and maintained ≥1 diagnostic symptom at Wave 2 were included.

resultsMost individuals with SUDs (77.2%) did not perceive a need for treatment at Wave 1 baseline. Only about 1 in 8 individuals not perceiving a need for treatment in Wave 1 came to perceive a need in Wave 2 (adjusted odds ratio = 0.18, 99% confidence interval = 0.11-0.29). In contrast, about half the individuals who perceived a need for treatment in Wave 1 no longer did so in Wave 2, despite maintaining ≥1 SUD symptom. Married respondents, and respondents with more SUD symptoms, were more likely to transition from low- to high-PTN status three years later. Respondents with incomes >$35,000 were less likely to transition to high-PTN status three years later.

conclusionsPTN was more likely to decline than increase over time. Low PTN appears to be stable among adults with SUDs in the United States, presenting a potentially enduring barrier to treatment-seeking.

Indexed as

PerceptionAdolescentAdultFemaleFollow-Up StudiesHealth Services Needs and DemandHumansLongitudinal StudiesMaleMiddle AgedSubstance-Related DisordersUnited StatesYoung AdultBarrier to treatmentNational Epidemiologic Survey on Alcohol and Related Conditions (NESARC)Self-PerceptionSubstance use disorderTreatment

Identifiers

PMID32078975
PMCPMC7418940
OpenAlexW3005355483

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.