Existing novel psychoactive drug (NPD) data are woefully inadequate. This gap is especially critical because NPDs are being developed and introduced at alarming rates and pose significant challenges to law enforcement and health care workers. Scholars in numerous fields have used Internet search query analysis to assess and predict health-related outcomes. Here, we explore the utility of these data for predicting NPD and established drug abuse. Google Trends searches for five novel and two established drugs were correlated with data pulled from the Monitoring the Future (MTF). Google Trends data proved highly correlated with data from MTF for all drugs analyzed. Despite limitations, Google Trends appears to be a promising compliment to existing data, providing real time data that may allow us to predict drug abuse trends and respond more quickly.
The unprecedented number of deaths in the U.S. attributed to opioids has been referred to as an “epidemic of addiction.” Media coverage of the epidemic has stoked public discussion of addiction on social media platforms. This article describes how addiction is represented in comments on media coverage of the “opioid epidemic” and examines the relationship between media framing and audience representations of addiction. Content analysis methods were applied to data obtained from news posts ( n = 397) and comments ( n = 2,836) on the Facebook pages of 42 newspapers in Ohio, where overdose deaths are among the highest in the U.S. Eleven percent of comments were identified as referencing addiction ( n = 319). These comments were classified into two overarching categories: (1) support, disease, and contributing factors expressed support for persons affected by the epidemic, represented addiction as a disease requiring treatment, and highlighted social and structural factors seen as contributing to the epidemic (61.1% of comments referencing addiction); and (2) misdirected attention and individual blame questioned the media focus on addiction and overdose deaths, highlighted individual choices to misuse opioids, and suggested that media coverage of the epidemic diverts attention away from other social problems viewed as being more worthy of public attention (38.9% of comments). Representations of addiction in comments were found to be independent of (not associated with) frames in media coverage ( p = .945). Together, these results suggest that while a majority of commenters represent addiction as a legitimate social problem that warrants intervention and support, a substantial minority are dismissive of the epidemic, express anger and disdain for persons who use opioids, and seek to counter popular narratives of social and structural factors contributing to addiction.
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