Few studies have conducted analysis of commercially available smartphone applications designed to promote alcohol and illicit substance use. The aim of this review is to determine harmful themes of content in applications promoting alcohol and illicit substance use found using recovery app search terms. A systematic search, via Apple iTunes and Google Play stores, was conducted of applications targeting abstinence or reduced substance use in online app stores (n = 1,074 apps) in March 2018. We conducted a secondary analysis of apps encouraging alcohol and illicit substance use in July 2018. Our initial search yielded 904 apps pertaining to alcohol and illicit substance use. Four reviewers conducted a content analysis of 102 apps meeting inclusion criteria and assessed app design, delivery features, text, and multimedia content pertaining to substance use. The initial coding scheme was refined using a data-driven, iterative method grouping in thematic categories. The number of apps coded to a specific substance include: alcohol (n = 74), methamphetamine (n =13), cocaine (n = 15), heroin (n = 12), and marijuana (n = 15), with nine apps overlapping more than one substance. Key themes identified among apps included: (i) tangibility (alcohol home delivery services); (ii) social networks (builtin social media platforms promoting substance use); (iii) software design (gamification or simulation of substance use); and (iv) aesthetics (sexual or violent imagery). Despite claims of restricting apps promoting substance use, further efforts are needed by online app stores to reduce the availability of harmful content.

Introduction and Aims This article examines the feasibility of leveraging Twitter to detect posts authored by people who use opioids (PWUO) or content related to opioid use disorder (OUD), and manually develop a multidimensional taxonomy of relevant tweets. Design and Methods Twitter messages were collected between June and October 2017 (n = 23 827) and evaluated using an inductive coding approach. Content was then manually classified into two axes (n = 17 420): (i) user experience regarding accessing, using, or recovery from illicit opioids; and (ii) content categories (e.g. policies, medical information, jokes/sarcasm). Results The most prevalent categories consisted of jokes or sarcastic comments pertaining to OUD, PWUOs or hypothetically using illicit opioids (63%), informational content about treatments for OUD, overdose prevention or accessing self‐help groups (20%), and commentary about government opioid policy or news related to opioids (17%). Posts by PWUOs centered on identifying illicit sources for procuring opioids (i.e. online, drug dealers; 49%), symptoms and/or strategies to quell opioid withdrawal symptoms (21%), and combining illicit opioid use with other substances, such as cocaine or benzodiazepines (17%). State and public health experts infrequently posted content pertaining to OUD (1%). Discussion and Conclusions Twitter offers a feasible approach to identify PWUO. Further research is needed to evaluate the efficacy of Twitter to disseminate evidence‐based content and facilitate linkage to treatment and harm reduction services.