Highlights
- •Scoping review found inconsistent support for SBIRT for cannabis.
- •Use of cannabis-specific screening could increase engagement.
- •Modifications to brief interventions yielded inconsistent outcomes.
- •Limited research has evaluated referral to treatment.
Abstract
Introduction
Methods
Results
Discussion
Keywords
1. Introduction
- McAfee N.W.
- Schumacher J.A.
- Madson M.B.
- Hurlocker-Villarosa M.C.
- Williams D.C.
1.1 SBIRT for cannabis use
2. Method
2.1 Selection criteria
2.2 Search strategy

3. Results
Article | Population | Sample Size | SBIRT Components | Modality | Provider | Cannabis Variables | Relevant Assessments | Fidelity Procedure |
---|---|---|---|---|---|---|---|---|
Aldridge et al., 2017 | Multisite adults; outpatient, inpatient, and emergency medical settings | Full sample: 7632 Cannabis sample: 2554 | BI | In-person | Varied by cite | Cannabis use days pre- and post-intervention | TLFB, GRPA | Not described |
Alinsky et al., 2020
Substance use screening, brief intervention, and referral to treatment in pediatric practice: A quality improvement project in the Maryland adolescent and young adult health collaborative improvement and innovation network. Clinical Pediatrics. 2020; 59: 429-435 | Adolescents and providers, outpatient medical setting | Providers: 9 Patients: 120 | S | Electronic or paper/pencil | Physicians, NPs, PAs | Positive cannabis screens | CRAFFT | Not described, no intervention |
Appel et al., 2015 | Adults, abortion clinic setting | N = 100 | S, BI, RT | In-person | Research team | Acceptability and attitudes about cannabis screening | Likert-like acceptability items | Not described, no intervention |
Baumeister et al., 2014 | Adults, primary care | N = 259 analyzed at follow-up; cannabis sample = 137 | BI | Hybrid | Primary care providers | Pre- and post-scores stratified by substance | ASSIST; Short-Form Health Survey | Not described, scripted |
Bertholet et al., 2020 | Adults, primary care | N = 61 Cannabis sample = 43 | S, BI | In-person | Health educators; Masters level clinicians | Pre- and post-use days, consequences | TLFB, SIP-D, ASSIST | Not described |
Blow et al., 2017 | Adults, emergency care | N = 780 Cannabis sample = 687 | BI | In-person or computerized | Master's level clinicians | Pre- and post-use days | TLFB, ASSIST | Audio recording with MITI and the Clinical Skill/Competence Scale coding |
Bonar et al., 2021 | Emerging adults, emergency care | N = 63 | BI | Hybrid | Counselors | Pre- and post-joints per month | TLFB, Likert-like acceptability items | Audio recording, supervision by MINT member |
Bucci et al., 2010 | Adolescents and emerging adults, early psychosis | N = 58 | S, BI | In-person | Staff therapists | Pre- and post-intervention daily frequency | Opiate Treatment Index, Global Assessment of Functioning | Peer supervision |
Chan et al., 2014 | Adults, behavioral health clinic | N = 2373 Cannabis sample = 582 | RT | EMR review | Varied | Post-intervention treatment referral and utilization | Global Assessment of Individual Needs – Short Screener | Not described, no intervention |
D'Amico et al., 2018 | Adolescents, primary care | N = 153 Cannabis sample = 242 | BI | In-person | Bachelor's and Master's level | Pre- and post-use days, consequences, peer norms | NIAAA scree; quantity, frequency, and consequences items | Audio recording with MITI coding and fidelity checklist |
Dawson-Rose et al., 2017 | Adults, HIV primary care | N = 208 | S, BI | In-person or computerized | Trained staff member | Pre- and post-ASSIST scores stratified by substance | ASSIST | Written documentation, supervision |
De Oliveira Christoff & Boerngen-Lacerda, 2015 | College students, volunteers | N = 815 Intervention sample = 333 | S, BI | In-person or computerized | Research team | Pre- and post-ASSIST scores stratified by substance | ASSIST | Not described |
de Gee et al., 2014 | Adolescents, outpatient | N = 119 | BI | Hybrid | Prevention worker | Pre- and post-severity scores | CUPIT; Severity of Dependence Scale | Audio recording, supervision with MINT member |
Field et al., 2020 | Adults, trauma center | N = 395 Cannabis sample = 348 | S, BI | In-person, telephone boosters | Research team | Pre- and post-use days | Toxicology screen, TLFB | Audio recording with MITI coding, supervision with MINT member |
Fischer et al., 2013 | College students | N = 134 | BI | In-person | Research team | Pre- and post-use days | Cannabis Use Disorders Identification Test, researcher-developed questions | Not described |
Fuster et al., 2016 | Adults, primary care | N = 167 | BI | In-person | Bachelor's or Master's-level provider | Pre- and post-use days, problems | SIP-D, TLFB, ASSIST | Audio recording, supervision |
Gette et al., n.d. Gette et al., n.d.Gette, J. A., McKenna, K. R., McAfee, N. W., Schumacher, J. A., Parker, J. D., & Konkle-Parker, D (n.d.). Users of cannabis-only are less likely to accept brief interventions than other substance use profiles in a sample of people living with HIV/AIDS. The American Journal on Addictions. | Adults, HIV clinic | N = 331 Cannabis sample = 101 | S, BI | Hybrid | Social Worker | Engagement in BNI | DAST | Not described, no intervention |
Graham et al., 2016 | Adults, HIV clinic | N = 1616 | S, BI, and RT | In-person | Bilingual educator | Positive cannabis screens, ASSIST scores | ASSIST, binary items | Not described |
Gryczynski et al., 2015 | Adults, community health centers | N = 359 | BI | In-person or computerized | Master's level clinician | ASSIST | None | |
Gryczynski et al., 2021 | School-based health centers | N = 300 Cannabis sample = 233 | BI | In-person or computerized | Nurse practitioner | Pre- and post-use days and cannabis-problems | TLFB, CRAFFT, ASSIST | Not described |
Gunderson et al., 2020 | Providers, high school-based health centers | N = 12 | S, BI, and RT | In-person | Research team | Semi-structured interviews on SBIRT for cannabis implementation | Qualitative outcomes | Not described, no intervention |
Hides et al., 2013 | Adolescents and emerging adults, primary care | N = 61 | BI | Hybrid | Doctoral-level psychologists | Pre- and post-use days, distress | TLFB, Kessler Distress Scale | Not described |
Karno et al., 2021 | Adults, medical centers | N = 718 | S, BI, and RT | In-person | Research team, Master's-level clinician | Pre- and post-use days, DAST, distress scores | ASSIST, DAST, Kessler Distress Scale, TLFB | Audio recording, supervision, session content checklist |
Kim et al., 2017 | Adults, primary care | N = 528 Cannabis sample = 333 | RT | In-person | Health educators, Master's-level clinician | Post-intervention referral rates | ASSIST | Audio recording with MITI coding, fidelity checklist |
Lee et al., 2021 | College students and emerging adults | Study 1 N = 207 Study 2 N = 410 Study 3 N = 336 | S | Online | N/A | Use days, consequences, CUD symptoms | CUDIT-R, Marijuana Consequences Checklist, quantity/frequency items | Not described, no intervention |
Lerch et al., 2017 | Adults on probation or parole | N = 316 | BI, RT | In-person or computerized | Counselors | Use days, treatment attendance | TLFB | Not described |
Madras et al., 2009 | Adults, medical centers | N = 459,599 Follow-up analyses = 12,284 | S, BI, and RT | Varied by site | SAMHSA-trained personnel | Positive screens, BNI use, referrals, and frequency at follow-up | Chart review, GRPA | Not described, no intervention |
Martin and Copeland, 2008 | Adolescents, general community | N = 40 | BI | In-person | therapist | Pre- and post-use days, quantity, DSM-IV symptoms | TLFB, Global Assessment of Individual Needs, Severity of Dependence Scale | Audio recording, fidelity ratings |
Martino et al., 2018 | Adults, reproductive health clinic | N = 439 Cannabis sample = 90 | S, BI | Computerized or in-person | Nurses, social workers, OBGYN | Pre- and post-use days | ASSIST, TLFB | Audio recording, fidelity ratings, supervision |
Maslowsky et al., 2017
Universal school-based implementation of screening brief intervention and referral to treatment to reduce and prevent alcohol, marijuana, tobacco, and other drug use: Process and feasibility. Substance abuse: research and treatment. 2017; 11 (1178221817746668) | Adolescents, school-based | N = 2513 Cannabis sample = 242 | S, BI | Hybrid | Bachelor's-level health educators | Post-intervention use intentions and SBIRT acceptability | CRAFFT, Likert-like intention to use and acceptability items | Audio recording, live observation, supervision |
Matheson et al., 2018 | Adults, primary care | N = 906 | S, BI | In-person | Primary care physicians | Positive screens | ASSIST | Not described |
McCarty et al., 2019 | Adolescents, school-based health centers | N = 148 | S, BI | Hybrid | School-based Health clinicians | Positive screens, post-intention to reduce use, hours high | “Check Yourself” tool | Not described |
Moore et al., 2021 | Adults, medical centers | N = 214,505 Cannabis sample = 36,374 | S, BI | Varied by site | Varied by site | Screening rates, discussion of use rates | Chart review | Not described, no intervention |
Morris et al., 2021
SACRED connections: A university-tribal clinical research partnership for school-based screening and brief intervention for substance use problems among native american youth. Journal of Ethnic & Cultural Diversity in Social Work. 2021; 30: 149-162 | Adolescents, school-based | N = 98 | BI | In-person, computerized | Health educators | Pre- and post-use days | TLFB, Composite International Diagnostic Interview, Personal Experiences Screening Questionnaire, Drug Use Screening Inventory – Revised, readiness to change | Supervision, team meetings |
Ondersma et al., 2019 | Adults, pregnant persons | N = 45 | BI | Electronic and/or text messages | Computerized intervention authoring system | Acceptability ratings | Patient satisfaction scale, ASSIST | Computerized |
Ondersma et al., 2007 | Adults, postpartum | N = 107 Cannabis sample = 90 | BI | Electronic | Computerized program | Pre- and post-use days | ASSIST, readiness to change scale | Computerized |
Papinczak et al., 2021 | Adults, outpatient clinic | N = 87 | S, BI | Hybrid | Psychologists, social workers, nurses | Feasibility and intention to change | Motivation to change, Likert-like satisfaction items | None |
Prendergast et al., 2017 | Adults, jail | N = 732 Cannabis sample = 686 | S, BI, RT | Hybrid | Health educators | Pre- and post-use, treatment utilization, risk level via ASSIST | ASSIST, readiness to change scale | Not described |
Richards et al., 2019 | Adults, primary care | N = 53,133 | S, BI, RT | In-person | Licensed independent clinical social workers | Screening rates, CUD diagnoses, treatment utilization | SUD symptom checklist, chart review | Not described, no intervention |
Richmond et al., 2013 | Adults, multisite medical centers | N = 108,907 | S | Varied by site | Varied by site | Positive screens, symptom severity | ASSIST | Not described, no intervention |
Saitz et al., 2014 | Adults, primary care | N = 528 Cannabis sample = 333 | S, BI | In-person | Health educators; Master's-level clinicians | Pre- and post-use days, symptom severity | ASSIST, TLFB, SIP-D | Audio recording with MITI coding |
Stephens et al., 2021 | Adults, community recruitment | N = 186 | S, BI | Hybrid | therapists | Pre and post-use days, hours intoxicated, cannabis problems | Readiness to change, TLFB, SCID, Marijuana Problems Scale | Audio recording with MITI and YAC coding, supervision |
Woodruff et al., 2013 | Adults, emergency departments | N = 2436 | S, BI | In-person | Health educators | Pre- and post-use days | GRPA, ASSIST | Not described |
Woolard et al., 2013 | Adults, emergency departments | N = 515 | BI | In-person | Master's and doctoral level clinicians | Pre and post-use days, consequences, and related injuries | Alcohol, marijuana, and drug use index; noteworthy index of problems; injury behavior checklist | Audio recording, supervision |
3.1 Screening
3.1.1 Screening in adult samples
Gette et al., n.d.Gette, J. A., McKenna, K. R., McAfee, N. W., Schumacher, J. A., Parker, J. D., & Konkle-Parker, D (n.d.). Users of cannabis-only are less likely to accept brief interventions than other substance use profiles in a sample of people living with HIV/AIDS. The American Journal on Addictions.
3.1.2 Screening in adolescent and emerging adult samples
- Alinsky R.H.
- Percy K.
- Adger Jr., H.
- Fertsch D.
- Trent M.
3.2 Brief intervention
3.2.1 Brief intervention in adult samples
3.2.2 Brief intervention in adolescent and emerging adult samples
- Maslowsky J.
- Whelan Capell J.
- Moberg D.P.
- Brown R.L.
3.3 Referral to treatment
3.4 Feasibility and acceptability
4. Discussion
- Alinsky R.H.
- Percy K.
- Adger Jr., H.
- Fertsch D.
- Trent M.
Gette et al., n.d.Gette, J. A., McKenna, K. R., McAfee, N. W., Schumacher, J. A., Parker, J. D., & Konkle-Parker, D (n.d.). Users of cannabis-only are less likely to accept brief interventions than other substance use profiles in a sample of people living with HIV/AIDS. The American Journal on Addictions.
- McAfee N.W.
- Schumacher J.A.
- Madson M.B.
- Hurlocker-Villarosa M.C.
- Williams D.C.
- Maslowsky J.
- Whelan Capell J.
- Moberg D.P.
- Brown R.L.
4.1 Limitations and future directions
4.2 Conclusion
CRediT authorship contribution statement
Declaration of competing interest
Appendix A. Supplementary data
PRISMA Guidelines for Scoping Reviews
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