ArticleEvaluation review2013
Drug use disorder (DUD) questionnaire: scale development and validation.
Article in Evaluation review, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Narrative exposure therapy for post-traumatic stress disorder and appetitive aggression among soldiers retiring from active service in Uganda.Research square · 2026Article
- Appetitive aggression and associated factors among military soldiers retiring from active service in Uganda.European journal of psychotraumatology · 2025Article
- High Incidence of Signs of Neuropathy and Self-Reported Substance Use Disorder for Nitrous Oxide in Patients Intoxicated with Nitrous Oxide.European addiction research · 2023Observational
- Validation of a three-item Fatigue Severity Scale for patients with substance use disorder: a cohort study from Norway for the period 2016-2020.Health and quality of life outcomes · 2021Article
- Marijuana as a predictor of concurrent substance use among motor vehicle operators.Journal of psychoactive drugsArticle
- Intercorrelation of Alcohol and Other Drug Use Disorders among a National Sample of Drivers.Journal of psychoactive drugsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundDespite the ample interest in the measurement of substance abuse and dependence, obtaining biological samples from participants as a means to validate a scale is considered time and cost intensive and is, subsequently, largely overlooked.
objectivesTo report the psychometric properties of the drug use disorder (DUD) questionnaire including oral fluid and blood sample screening indicators measuring the three most commonly used illicit substances--marijuana, cocaine, and extramedicinal painkillers. SUBJECTS: Participants were a subset (N = 2,702) of the 2007 U.S. National Roadside Survey that was administered to daytime and nighttime weekend drivers in the 48 contiguous states to examine the prevalence of substance use and misuse. MEASURES: Participants completed demographic and substance use questions as well as the DUD--a 12-item measure assessing substance abuse and dependence. Participants could potentially have completed the DUD three times for each of the three substances. Subscales of abuse and dependence were created using Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition Text Revision [DSM-IV-TR]) criteria of these diagnoses.
resultsThe DUD displayed adequate internal consistency on both subscales of substance abuse and dependence (Cronbach's α ranging from .71 to .84 and .83 to .92, respectively). The DUD also demonstrated construct validity in comparison to biological markers of each substance.
conclusionsThe DUD is a biologically validated instrument that is both easy to utilize and may have valuable implications as a research tool among both clinical and nonclinical populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.