ArticleAmerican journal of health promotion : AJHP2017
"Get drunk. Smoke weed. Have fun.": A Content Analysis of Tweets About Marijuana and Alcohol.
Article in American journal of health promotion : AJHP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- #TurntTrending: a systematic review of substance use portrayals on social media platforms.Addiction (Abingdon, England) · 2023Pooled it
- Prevalence of Health Misinformation on Social Media: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit.Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media · 2025Article
- Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis.Journal of medical Internet research · 2024Article
- Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Assessment of Online Marketing and Sales Practices Among Recreational Cannabis Retailers in Five U.S. Cities.Cannabis and cannabinoid research · 2024Article
- Twitter activity surrounding the Finnish green party's cannabis legalisation proposal: A mixed-methods analysis.Nordisk alkohol- & narkotikatidskrift : NAT · 2023Article
- Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses.Journal of medical Internet research · 2023Article
- Evaluating and Tracking Qualitative Content Coder Performance Using Item Response Theory.Quality & quantity · 2023Article
- Social media discussions about long-term care and the COVID-19 pandemic.Journal of aging studies · 2022Article
- Understanding Alcohol Use Discourse and Stigma Patterns in Perinatal Care on Twitter.Healthcare (Basel, Switzerland) · 2022Article
- Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data.Journal of cannabis research · 2022Article
- Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis.Journal of medical Internet research · 2021Article
- Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.Journal of medical Internet research · 2021Article
- Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study.Journal of medical Internet research · 2021Article
- Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study.JMIR public health and surveillance · 2020Article
- Social Media Interventions for Risky Drinking Among Adolescents and Emerging Adults: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2020Article
- Cannabis Surveillance With Twitter Data: Emerging Topics and Social Bots.American journal of public health · 2020Article
- Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter's Users: An Exploratory Content- and Topology-Based Analysis.International journal of environmental research and public health · 2020Article
- Interpol review of controlled substances 2016-2019.Forensic science international. Synergy · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo explore the sentiment and themes of Twitter chatter that mentions both alcohol and marijuana.
designCross-sectional analysis of tweets mentioning both alcohol and marijuana during 1 month was performed.
settingThe study setting was Twitter.
participantsTweets sent from February 4 to March 5, 2014, were studied.
methodA random sample (n = 5000) of tweets that mentioned alcohol and marijuana were qualitatively coded as normalizing both substances, preferring one substance over the other, or discouraging both substances. Other common themes were identified.
resultsMore than half (54%) of the tweets normalized marijuana and alcohol (without preferring one substance over the other), and 24% preferred marijuana over alcohol. Only 2% expressed a preference for alcohol over marijuana, 7% discouraged the use of both substances, and the sentiment was unknown for 13% of the tweets. Common themes among tweets that normalized both substances included using the substances with friends (17%) and mentioning substance use in the context of sex or romance (14%). Common themes among tweets that preferred marijuana over alcohol were the beliefs that marijuana is safer than alcohol (46%) and preferences for effects of marijuana over alcohol (40%).
conclusionTweets normalizing polysubstance use or encouraging marijuana use over alcohol use are common. Both online and offline prevention efforts are needed to increase awareness of the risks associated with polysubstance use and marijuana use.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.