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• W3132406144 abstract "Background: Many individuals misusing opioids do not enter into treatment. The question of who enters into treatment for their opioid abuse and under what circumstances is complex and shaped by multiple factors. The objective of the current study is to explore the risk factors for wide-ranging and numerous barriers to treatment among social media users. Method: Opioid-related forums within a popular social media platform were used to recruit non-treatment engaged individuals (≥15 years) who had misused opioids in the past month (n = 144; 66% male; median age 28). Four treatment barrier factors were identified utilizing principle component analysis: (1) stigma, (2) awareness, (3) attitudinal, and (4) denial. A structural equation model (SEM) was then created to explore the risk factors for different types of barriers to OUD treatment. Results: The most common barriers among participants not engaged in treatment for their opioid misuse were the belief that one should be able to help themselves with their condition (66%), treatment was too expensive (63%), and worries about being labeled or judged (57%). Additionally, SEM results demonstrate stigma barriers, awareness, and attitudinal barriers were associated with mental health comorbidities, opioid abuse and dependence severity, and treatment history. Denial barriers, however, were only associated with treatment history, and structural/financial barriers were only associated with opioid abuse and dependence severity. Conclusions: Our research findings are relevant for underscoring the wide-ranging and numerous barriers to treatment faced by individuals misusing opioids that are especially concentrated among those who also struggle with comorbid mental illness." @default.
• W3132406144 created "2021-03-01" @default.
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• W3132406144 date "2021-10-01" @default.
• W3132406144 modified "2023-10-16" @default.
• W3132406144 title "Understanding barriers to treatment among individuals not engaged in treatment who misuse opioids: A structural equation modeling approach" @default.
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• W3132406144 doi "https://doi.org/10.1080/08897077.2021.1876199" @default.
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