The substance use disorder (SUD) topic area includes studies that examined employment-related interventions for persons with substance use disorders, including employment barriers and opportunities. As part of CLEAR's systematic evidence review, studies were assessed based on the quality of causal evidence. A profile was compiled for each study that included the research methods approach, intervention summaries, and main findings.
Substance Use Disorder
Status: The literature reviewed under this topic area covers 2010 and 2022. The topic area will be updated on an on-going as new research is added.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 4 of 4
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California's Proposition 36-funded employment services on employment, earnings, public benefit receipt, and health and safety. Using outcome…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an integrated drug counseling and employment intervention on employment, earnings, drug use, and HIV risk behaviors among clients in methadone…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of a therapeutic workplace on employment, earnings and wages, and public benefits receipt. This study used a randomized controlled trial. …Study Type: Causal Impact Analysis
The study’s objective was to determine whether a job skills training intervention, the Job Seekers’ Workshop (JSW), improved employment outcomes and reduced alcohol use among an American Indian…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.