Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA, USA.
Grayken Center for Addiction and Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Subst Use Addctn J. 2024 Oct;45(4):559-567. doi: 10.1177/29767342241237202. Epub 2024 Mar 8.
Understanding opioid overdose risk perception may inform overdose prevention strategies.
We used baseline data from a randomized overdose prevention trial, in San Francisco, CA, and Boston, MA, among people who used nonprescribed opioids, survived an overdose in the past 3 years, and had received naloxone. Participants were asked how likely they were to overdose in the next 4 months. We combined "extremely likely" and "likely" (higher risk perception) and "neutral," "unlikely," and "extremely unlikely" (lower risk perception). We performed bivariate analyses and separate multivariable logistic regression models of risk perception across (1) sociodemographic, (2) substance use, and (3) overdose risk behavior measures. Covariates were selected or significant in bivariate analyses.
Among 268 participants, 88% reported at least 1 overdose risk behavior; however, only 21% reported higher risk perception. The adjusted odds ratio (AOR) of higher risk perception was 2.41 (95% confidence interval [CI]: 1.10-5.30) among those unhoused in the past 4 months, 2.06 (95% CI: 1.05-4.05) among those using opioids in a new place, and 5.61 (95% CI: 2.82-11.16) among those who had overdosed in the past 4 months. Living in Boston was associated with higher risk perception in all 3 models (AOR = 2.00-2.46, 95% CI: 1.04-4.88).
Despite prevalent risk behaviors, a minority of participants perceived themselves to be at higher risk of overdose. Nonetheless, some known risk factors for overdose were appropriately associated with risk perception. Fentanyl has been prevalent in Boston for longer than San Francisco, which may explain the higher risk perception there.
了解阿片类药物过量风险认知可能为过量预防策略提供信息。
我们使用了在加利福尼亚州旧金山和马萨诸塞州波士顿进行的一项随机过量预防试验的基线数据,该试验对象为过去 3 年内非处方阿片类药物使用者、经历过过量且接受过纳洛酮治疗的人群。参与者被问及他们在接下来的 4 个月内过量的可能性。我们将“极有可能”和“有可能”(更高的风险认知)与“中性”、“不太可能”和“极不可能”(更低的风险认知)合并。我们对(1)社会人口统计学、(2)物质使用和(3)过量风险行为措施进行了风险认知的双变量分析和单独的多变量逻辑回归模型。协变量是在双变量分析中选择的或有统计学意义的。
在 268 名参与者中,88%报告至少有一种过量风险行为;然而,只有 21%报告了更高的风险认知。在过去 4 个月内无家可归的参与者中,更高风险认知的调整后优势比(AOR)为 2.41(95%置信区间 [CI]:1.10-5.30),在过去 4 个月内在新地方使用阿片类药物的参与者中为 2.06(95% CI:1.05-4.05),在过去 4 个月内过量的参与者中为 5.61(95% CI:2.82-11.16)。在所有 3 个模型中,居住在波士顿与更高的风险认知相关(AOR = 2.00-2.46,95% CI:1.04-4.88)。
尽管存在普遍的风险行为,但只有少数参与者认为自己有更高的过量风险。尽管如此,一些已知的过量风险因素与风险认知适当相关。芬太尼在波士顿的流行时间比旧金山长,这可能解释了那里更高的风险认知。