Published on 17.04.13 in Vol 15, No 4 (2013): April
Works citing "Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2503):
(note that this is only a small subset of citations)
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Alvaro N, Conway M, Doan S, Lofi C, Overington J, Collier N. Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use. Journal of Biomedical Informatics 2015;58:280
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Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315
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Thompson L, Rivara FP, Whitehill JM. Prevalence of Marijuana-Related Traffic on Twitter, 2012–2013: A Content Analysis. Cyberpsychology, Behavior, and Social Networking 2015;18(6):311
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Fisher B, Witherow K, Kruis NE. Book Review: Nancy E. Marion, Drug Policy and the Criminal Justice System. Criminal Justice Policy Review 2020;31(5):783
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Alvaro N, Miyao Y, Collier N. TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations. JMIR Public Health and Surveillance 2017;3(2):e24
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Sarker A, Gonzalez-Hernandez G, Ruan Y, Perrone J. Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter. JAMA Network Open 2019;2(11):e1914672
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Netherland J, Hansen HB. The War on Drugs That Wasn’t: Wasted Whiteness, “Dirty Doctors,” and Race in Media Coverage of Prescription Opioid Misuse. Culture, Medicine, and Psychiatry 2016;40(4):664
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Mackey TK, Liang BA, Strathdee SA. Digital Social Media, Youth, and Nonmedical Use of Prescription Drugs: The Need for Reform. Journal of Medical Internet Research 2013;15(7):e143
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Tse CK, Bridges SM, Srinivasan DP, Cheng BS. Social Media in Adolescent Health Literacy Education: A Pilot Study. JMIR Research Protocols 2015;4(1):e18
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Aikins R, Zhang X, McCabe SE. Academic Doping: Institutional Policies Regarding Nonmedical use of Prescription Stimulants in U.S. Higher Education. Journal of Academic Ethics 2017;15(3):229
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Cuomo RE, Cai M, Shah N, Li J, Chen W, Obradovich N, Mackey TK. Characterising communities impacted by the 2015 Indiana HIV outbreak: A big data analysis of social media messages associated with HIV and substance abuse. Drug and Alcohol Review 2020;39(7):908
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Fogel J, Travis Y. Twitter use related to reality television characters: Association with increased marijuana use. Journal of Organizational Computing and Electronic Commerce 2017;27(2):152
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Watson GL, Arcona AP, Antonuccio DO. The ADHD Drug Abuse Crisis on American College Campuses. Ethical Human Psychology and Psychiatry 2015;17(1):5
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Schootman M, Nelson EJ, Werner K, Shacham E, Elliott M, Ratnapradipa K, Lian M, McVay A. Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps. International Journal of Health Geographics 2016;15(1)
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Barnes M, Hanson C, Giraud-Carrier C. The Case for Computational Health Science. Journal of Healthcare Informatics Research 2018;2(1-2):99
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Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353
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Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189
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Alhabash S, VanDam C, Tan P, Smith SW, Viken G, Kanver D, Tian L, Figueira L. 140 Characters of Intoxication: Exploring the Prevalence of Alcohol-Related Tweets and Predicting Their Virality. SAGE Open 2018;8(4):215824401880313
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Golder S, Norman G, Loke YK. Systematic review on the prevalence, frequency and comparative value of adverse events data in social media. British Journal of Clinical Pharmacology 2015;80(4):878
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. Online Survey on Twitter: A Urological Experience. Journal of Medical Internet Research 2013;15(10):e238
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Ashford RD, Curtis BL. Commentary on Cohn and Colleagues: Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality (ACER, 2019). Alcoholism: Clinical and Experimental Research 2019;43(3):401
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Shutler L, Nelson LS, Portelli I, Blachford C, Perrone J. Drug Use in the Twittersphere: A Qualitative Contextual Analysis of Tweets About Prescription Drugs. Journal of Addictive Diseases 2015;34(4):303
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Bartlett C, Wurtz R. Twitter and Public Health. Journal of Public Health Management and Practice 2015;21(4):375
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Kalyanam J, Mackey TK. A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse. Current Addiction Reports 2017;4(4):397
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Chan B, Lopez A, Sarkar U, Hildt E. The Canary in the Coal Mine Tweets: Social Media Reveals Public Perceptions of Non-Medical Use of Opioids. PLOS ONE 2015;10(8):e0135072
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Michalak EE, McBride S, Barnes SJ, Wood CS, Khatri N, Balram Elliott N, Parikh SV. Bipolar disorder research 2.0: Web technologies for research capacity and knowledge translation. Journal of Evaluation in Clinical Practice 2017;23(6):1144
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Cotter KL, Smokowski PR. Perceived Peer Delinquency and Externalizing Behavior Among Rural Youth: The Role of Descriptive Norms and Internalizing Symptoms. Journal of Youth and Adolescence 2016;45(3):520
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Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A. “When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health and Surveillance 2016;2(2):e162
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Ranney ML, Genes N. Social media and healthcare quality improvement: a nascent field. BMJ Quality & Safety 2016;25(6):389
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Fogel J, King K. Perceived Realism and Twitter Use Are Associated with Increased Acceptance of Cosmetic Surgery among Those Watching Reality Television Cosmetic Surgery Programs. Plastic and Reconstructive Surgery 2014;134(2):233
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Fogel J, Zhuk A. Direct-to-consumer prescription medication advertisements and obtaining prescriptions with or without a doctor’s prescription. Health Marketing Quarterly 2019;36(3):220
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Kim MG, Kim J, Kim SC, Jeong J. Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study. Journal of Medical Internet Research 2020;22(2):e16466
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ElTayeby O, Eaglin T, Abdullah M, Burlinson D, Dou W, Yao L. A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data. Health Informatics Journal 2019;25(4):1756
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Muralidhara S, Paul MJ. #Healthy Selfies: Exploration of Health Topics on Instagram. JMIR Public Health and Surveillance 2018;4(2):e10150
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O'Connor K, Sarker A, Perrone J, Gonzalez Hernandez G. Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines. Journal of Medical Internet Research 2020;22(2):e15861
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Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
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Li J, Xu Q, Shah N, Mackey TK. A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study. Journal of Medical Internet Research 2019;21(6):e13803
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Carreiro S, Chai PR, Carey J, Chapman B, Boyer EW. Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research. Journal of Medical Toxicology 2017;13(2):166
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Bevan JL, Gomez R, Sparks L. Disclosures about important life events on Facebook: Relationships with stress and quality of life. Computers in Human Behavior 2014;39:246
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. Analysing Twitter as an Opportunity to Understand Substance Use. SSRN Electronic Journal 2015;
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Simpson SS, Adams N, Brugman CM, Conners TJ. Detecting Novel and Emerging Drug Terms Using Natural Language Processing: A Social Media Corpus Study. JMIR Public Health and Surveillance 2018;4(1):e2
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Sequeira R, Gayen A, Ganguly N, Dandapat SK, Chandra J. A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. IEEE Transactions on Computational Social Systems 2019;6(6):1232
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Fogel J, Adnan M. Trust for pharmaceutical company direct-to-consumer prescription medication advertisements. Health Policy and Technology 2018;7(1):26
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Daniulaityte R, Nahhas RW, Wijeratne S, Carlson RG, Lamy FR, Martins SS, Boyer EW, Smith GA, Sheth A. “Time for dabs”: Analyzing Twitter data on marijuana concentrates across the U.S.. Drug and Alcohol Dependence 2015;155:307
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Sarker A, DeRoos A, Perrone J. Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. Journal of the American Medical Informatics Association 2020;27(2):315
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Matsuzaka S, Knapp M. Anti-racism and substance use treatment: Addiction does not discriminate, but do we?. Journal of Ethnicity in Substance Abuse 2020;19(4):567
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Hu H, Phan N, Chun SA, Geller J, Vo H, Ye X, Jin R, Ding K, Kenne D, Dou D. An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning. Computational Social Networks 2019;6(1)
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Su Z, Mackert M, Li X, Han J, Crook B, Wyeth B. “Study Natural” without Drugs: An Exploratory Study of Theory-Guided and Tailored Health Campaign Interventions to Prevent Nonmedical Use of Prescription Stimulants in College Students. International Journal of Environmental Research and Public Health 2020;17(12):4421
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Yin Z, Fabbri D, Rosenbloom ST, Malin B. A Scalable Framework to Detect Personal Health Mentions on Twitter. Journal of Medical Internet Research 2015;17(6):e138
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LaBelle S, Ball H, Weber K, White A, Hendry A. The Rethink campaign to reduce the normalization of prescription stimulant misuse on college campuses. Communication Quarterly 2020;68(1):1
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Thaikla K, Pinyopornpanish K, Jiraporncharoen W, Angkurawaranon C. Cannabis and Kratom online information in Thailand: Facebook trends 2015–2016. Substance Abuse Treatment, Prevention, and Policy 2018;13(1)
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Thackeray R, Neiger BL, Burton SH, Thackeray CR. Analysis of the Purpose of State Health Departments' Tweets: Information Sharing, Engagement, and Action. Journal of Medical Internet Research 2013;15(11):e255
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Chary M, Genes N, Giraud-Carrier C, Hanson C, Nelson LS, Manini AF. Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media. Journal of Medical Toxicology 2017;13(4):278
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Lamy FR, Daniulaityte R, Sheth A, Nahhas RW, Martins SS, Boyer EW, Carlson RG. “Those edibles hit hard”: Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence 2016;164:64
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Thackeray R, Burton SH, Giraud-Carrier C, Rollins S, Draper CR. Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month. BMC Cancer 2013;13(1)
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Fogel J, Shlivko A. Reality Television Programs Are Associated With Illegal Drug Use and Prescription Drug Misuse Among College Students. Substance Use & Misuse 2016;51(1):62
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Ranney ML, Chang B, Freeman JR, Norris B, Silverberg M, Choo EK, Mycyk MB. Tweet Now, See You In the ED Later? Examining the Association Between Alcohol‐related Tweets and Emergency Care Visits. Academic Emergency Medicine 2016;23(7):831
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Huesch M, Chetlen A, Segel J, Schetter S. Frequencies of Private Mentions and Sharing of Mammography and Breast Cancer Terms on Facebook: A Pilot Study. Journal of Medical Internet Research 2017;19(6):e201
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Mackey TK, Kalyanam J, Katsuki T, Lanckriet G. Twitter-Based Detection of Illegal Online Sale of Prescription Opioid. American Journal of Public Health 2017;107(12):1910
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Lamy FR, Daniulaityte R, Zatreh M, Nahhas RW, Sheth A, Martins SS, Boyer EW, Carlson RG. "You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates. Drug and Alcohol Dependence 2018;183:248
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Tricco AC, Zarin W, Lillie E, Jeblee S, Warren R, Khan PA, Robson R, Pham B, Hirst G, Straus SE. Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review. BMC Medical Informatics and Decision Making 2018;18(1)
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Kazemi DM, Borsari B, Levine MJ, Dooley B. Systematic review of surveillance by social media platforms for illicit drug use. Journal of Public Health 2017;39(4):763
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Moreno MA, Pumper MA. The Wiley Handbook of Psychology, Technology, and Society. 2015. :287
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