TY - VIDEO
KW - Harm Reduction
KW - cultural explanatory models
KW - Addiction
KW - Treatment Outcomes
KW - Empirical Study
KW - Interview
KW - Qualitative Study
KW - Human
KW - Adulthood (18 yrs & older)
KW - treatment
KW - Medical Patients
KW - Client Participation
KW - Stress Reactions
KW - Teams
KW - Distress
KW - US
KW - 3300:Health & Mental Health Treatment & Prevention
AU - Angel R. Vasquez
A1 - 
BT - Dissertation Abstracts International: Section B: The Sciences and Engineering
C4 - This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
C5 - Grey Literature; Education & Workforce; Healthcare Disparities; Opioids & Substance Use
JF - Dissertation Abstracts International: Section B: The Sciences and Engineering
LA - English
M1 - Dissertation/Thesis
PB - University of Alaska Fairbanks
PY - 2021
T1 - In pursuit of harm reduction in the Alaskan context: Patient cultural explanatory models of addiction and treatment outcomes for a medically-assisted program utilizing a buprenorphine/naloxone formulation
T2 - Dissertation Abstracts International: Section B: The Sciences and Engineering
TI - In pursuit of harm reduction in the Alaskan context: Patient cultural explanatory models of addiction and treatment outcomes for a medically-assisted program utilizing a buprenorphine/naloxone formulation
U1 - Grey Literature; Education & Workforce; Healthcare Disparities; Opioids & Substance Use
U4 - This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
VL - AAI28030028
Y1 - 2021
Y2 - 2020
ER -