Stigma and policy preference toward individuals who transition from prescription opioids to heroin.

Background: There is a lack of understanding of what contributes to attitudes toward individuals with an opioid addiction and preferences for policies that support them.

Methods: This study aimed to investigate stigmatization of an opioid addiction and support for publicly funded drug treatment. A randomized, between-subjects case vignette study (N = 1998) was conducted with a nation-wide online survey. To assess public perceptions of stigma and support for publicly funded drug treatment, participants rated a hypothetical individual who became addicted to prescription opioids across three conditions: 1) male or female, 2) an individual who was prescribed prescription painkillers or took prescription painkillers from a friend and 3) an individual who transitioned to using heroin or who continued using prescription painkillers.

Results: Our results showed that there were stronger negative attitudes towards a male (p < .01) and toward an individual who took prescription painkillers from a friend (all p's < .05), and both stronger positive and negative attitudes toward an individual who transitioned to heroin from prescription painkillers (all p's < .05). Next, we demonstrated that the probability that someone supports publicly funded drug treatment increases by 3.6 percentage points for each unit increase along a 12-point scale of positive attitudes (p < .0005), 1.3 percentage points for each unit decrease along a 12-point scale of negative attitudes (p < .005), 7.3 percentage points for each unit increase along a 6-point scale of perceived treatment efficacy (p < .0001), 0.1 percentage points for each unit decrease along a 100-point scale that measures the strength of one's belief that addiction is controllable (p < .005) and 0.2 percentage points for each unit decrease along a 100-point scale that measures the strength of one's belief that income is controllable (p < .005). Lastly, when controlling for the effects of stigma, the probability of supporting publicly funded drug treatment decreases by 6.3 percentage points (p < 0.001) when an individual was prescribed prescription painkillers from a doctor. However, path analysis identified a channel through which a doctor's prescription increased support for publicly funded drug treatment by influencing positive attitudes, negative attitudes, and responsibility.

Conclusion: Our findings provide further evidence that information about individuals who become addicted to opioids can influence stigma perceptions and support for publicly funded drug treatment.