A review of contingency management for the treatment of substance-use disorders: adaptation for underserved populations, use of experimental technologies, and personalized optimization strategies

Sterling M McPherson1 Department of Medical Education and Clinical Sciences, Elson S Floyd College of Medicine, Washington State University, [email protected];2 Programs of Excellence in Addictions Research, Washington State University, [email protected];3 Analytics and Psychopharmacology Laboratory (APPL), Washington State University, [email protected];4 Translational Addictions Research Center, Washington State University, [email protected]Correspondence[email protected]

Ekaterina Burduli1 Department of Medical Education and Clinical Sciences, Elson S Floyd College of Medicine, Washington State University, [email protected];2 Programs of Excellence in Addictions Research, Washington State University, [email protected];3 Analytics and Psychopharmacology Laboratory (APPL), Washington State University, [email protected];4 Translational Addictions Research Center, Washington State University, [email protected];5 College of Nursing, Washington State University

Crystal Lederhos Smith1 Department of Medical Education and Clinical Sciences, Elson S Floyd College of Medicine, Washington State University, [email protected];2 Programs of Excellence in Addictions Research, Washington State University, [email protected];3 Analytics and Psychopharmacology Laboratory (APPL), Washington State University, [email protected];4 Translational Addictions Research Center, Washington State University, [email protected]

Jalene Herron2 Programs of Excellence in Addictions Research, Washington State University, [email protected];6 Behavioral Health Interventions (BHI), Washington State University, Spokane, WA, USA

Oladunni Oluwoye2 Programs of Excellence in Addictions Research, Washington State University, [email protected];6 Behavioral Health Interventions (BHI), Washington State University, Spokane, WA, USA

Katherine Hirchak2 Programs of Excellence in Addictions Research, Washington State University, [email protected];3 Analytics and Psychopharmacology Laboratory (APPL), Washington State University, [email protected];4 Translational Addictions Research Center, Washington State University, [email protected]

Michael F Orr1 Department of Medical Education and Clinical Sciences, Elson S Floyd College of Medicine, Washington State University, [email protected];2 Programs of Excellence in Addictions Research, Washington State University, [email protected];3 Analytics and Psychopharmacology Laboratory (APPL), Washington State University, [email protected];4 Translational Addictions Research Center, Washington State University, [email protected];5 College of Nursing, Washington State University

Michael G McDonell1 Department of Medical Education and Clinical Sciences, Elson S Floyd College of Medicine, Washington State University, [email protected];2 Programs of Excellence in Addictions Research, Washington State University, [email protected];3 Analytics and Psychopharmacology Laboratory (APPL), Washington State University, [email protected];4 Translational Addictions Research Center, Washington State University, [email protected];5 College of Nursing, Washington State University

John M Roll1 Department of Medical Education and Clinical Sciences, Elson S Floyd College of Medicine, Washington State University, [email protected];2 Programs of Excellence in Addictions Research, Washington State University, [email protected];3 Analytics and Psychopharmacology Laboratory (APPL), Washington State University, [email protected];4 Translational Addictions Research Center, Washington State University, [email protected];5 College of Nursing, Washington State University

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A review of contingency management for the treatment of substance-use disorders: adaptation for underserved populations, use of experimental technologies, and personalized optimization strategies

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A review of contingency management for the treatment of substance-use disorders: adaptation for underserved populations, use of experimental technologies, and personalized optimization strategies

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