CoChat
Sign Up
Cited by 65Substance Abuse Treatment and OutcomesOpioid Use Disorder TreatmentMental Health Treatment and Access

Receiving addiction treatment in the US: Do patient demographics, drug of choice, or substance use disorder severity matter?

Johnson, Kimberly, Rigg, Khary K., Hopkins Eyles, Cary·2020·International Journal of Drug Policy
DOI 10.1016/j.drugpo.2019.10.009
Open this paper in CoChat — free account

Abstract

Background Understanding addiction treatment needs and utilization is important to health systems and government to develop policies that effectively address substance use disorders (SUDs) at a population level. This study aims to describe differences in treatment receipt by diagnostic category, drug of choice, and demographic characteristics in an effort to identify potential disparities in receipt of care.Methods Using data from the 2017 National Survey on Drug Use and Health, we calculated the proportion of various groups that received treatment and conducted binary logistic regression to determine the association between addiction treatment receipt and SUD severity, drug of choice, and patient demographics.Results Using DSM-5, 16.7 million Americans (age 12 and older) are estimated to have a mild SUD, 5.2 million a moderate SUD, and 4.6 million a severe SUD. The two greatest predictors of treatment receipt are addiction severity and probation status. People with severe opioid use disorder have the greatest probability of treatment receipt with a 55.6% predicted probability of receiving treatment, while people with a mild alcohol use disorder are the least likely to receive treatment with a predicted probability of 1.8% receiving treatment. People with mild alcohol use disorder make up the largest proportion of people identified as needing but not receiving treatment when assuming all people with a diagnosis need treatment.Conclusions Improving use of existing specialty addiction treatment capacity to address the needs of the 8.5 million Americans with moderate or severe SUD and better use of the general health care system to treat mild or stable SUD may be a better focus for health system planners and government than adding new capacity for specialty treatment.

Integrity signals

Registry

Crossref · 10.1016/j.drugpo.2019.10.009

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

5 of the 26 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Related

Authors
Johnson, K., Rigg, K. K., & Hopkins Eyles, C.
Affiliations
University of South Florida (US)
Corresponding author
Johnson, Kimberly
ORCID
Venue
International Journal of Drug Policy
Publisher
Elsevier BV
Published
2020-01
Volume
75
Pages
102583
ISSN
0955-3959 (ISSN-L)
DOI
10.1016/j.drugpo.2019.10.009
OpenAlex
W2987457846
Cited by
65
References
26
Citations by year
2026: 3 · 2025: 5 · 2024: 6 · 2023: 3 · 2022: 7 · 2021: 36 · 2020: 5
FWCI
9.21
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • International Journal of Drug Policy (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
addiction treatment, treatment receipt, treatment disparities, opioid use disorder, alcoholism, addiction severity, patient demographics, National Survey on Drug Use and Health, health care utilization
MeSH terms
Adolescent, Adult, Alcoholism, Child, Delivery of Health Care, Female, Health Surveys, Humans, Male, Middle Aged, Probability, Severity of Illness Index, United States, Substance-Related Disorders, Healthcare Disparities, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review