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Citing this Article

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Published on 16.12.15 in Vol 17, No 12 (2015): December

This paper is in the following e-collection/theme issue:

Works citing "Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5144):

(note that this is only a small subset of citations)

  1. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  3. Anwar M, Khoury D, Aldridge AP, Parker SJ, Conway KP. Using Twitter to Surveil the Opioid Epidemic in North Carolina: An Exploratory Study. JMIR Public Health and Surveillance 2020;6(2):e17574
    CrossRef
  4. Mackey T, Kalyanam J, Klugman J, Kuzmenko E, Gupta R. Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access. Journal of Medical Internet Research 2018;20(4):e10029
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  5. 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
    CrossRef
  6. 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
    CrossRef
  7. Kalyanam J, Katsuki T, R.G. Lanckriet G, Mackey TK. Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning. Addictive Behaviors 2017;65:289
    CrossRef
  8. 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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  9. Chu K, Colditz J, Sidani J, Zimmer M, Primack B. Re-evaluating standards of human subjects protection for sensitive health data in social media networks. Social Networks 2021;67:41
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  10. McLafferty S, Schneider D, Abelt K. Placing volunteered geographic health information: Socio-spatial bias in 311 bed bug report data for New York City. Health & Place 2020;62:102282
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  11. Nicholson J, Marcum CD, Higgins GE. Predictors of Prescription Drug Misuse among High School Students in the United States. Deviant Behavior 2022;43(1):91
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  12. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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  13. 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
    CrossRef
  14. Kalyanam J, Mackey TK. A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse. Current Addiction Reports 2017;4(4):397
    CrossRef
  15. 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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  16. Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187
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  17. Burke-Garcia A, Stanton CA. A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions. Informatics in Medicine Unlocked 2017;8:8
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  18. Chou L, Chang K, Puspitasari I. Drug Abuse Research Trend Investigation with Text Mining. Computational and Mathematical Methods in Medicine 2020;2020:1
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  19. 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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  20. Pinyopornpanish K, Jiraporncharoen W, Thaikla K, Yoonut K, Angkurawaranon C. Sedative and Analgesic Drugs Online: A Content Analysis of the Supply and Demand Information Available in Thailand. Substance Use & Misuse 2018;53(4):641
    CrossRef
  21. 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
    CrossRef
  22. Myrseth H, Pallesen S, Torsheim T, Erevik EK. Prevalence and correlates of stimulant and depressant pharmacological cognitive enhancement among Norwegian students. Nordic Studies on Alcohol and Drugs 2018;35(5):372
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  23. Palamar JJ, Le A, Acosta P. Posting, Texting, and Related Social Risk Behavior While High. Substance Abuse 2020;41(3):382
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  24. Guerra C, Mackey TK. USA Criminal and Civil Prosecutions Associated with Illicit Online Pharmacies: Legal Analysis and Global Implications. Medicine Access @ Point of Care 2017;1:maapoc.0000020
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  25. Mackey TK, Kalyanam J. Detection of illicit online sales of fentanyls via Twitter. F1000Research 2017;6:1937
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  26. Mackey TK, Nayyar G. A review of existing and emerging digital technologies to combat the global trade in fake medicines. Expert Opinion on Drug Safety 2017;16(5):587
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  27. Mackey TK, Nayyar G. Digital danger: a review of the global public health, patient safety and cybersecurity threats posed by illicit online pharmacies. British Medical Bulletin 2016;118(1):110
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  28. . “Click for Closer Care”: A Content Analysis of Community Pharmacy Websites in Four Countries. Journal of Medical Internet Research 2017;19(6):e205
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  29. 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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  30. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1
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  31. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
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  32. Liang Y, Guo B, Yu Z, Zheng X, Wang Z, Tang L. A multi-view attention-based deep learning system for online deviant content detection. World Wide Web 2021;24(1):205
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  33. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
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  34. Guirguis A, Moosa I, Gittins R, Schifano F. What About Drug Checking? Systematic Review and Netnographic Analysis of Social Media. Current Neuropharmacology 2020;18(10):906
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  35. Assaf RR, Young KD. Trends in Pediatric Recreational Drug Use and Ingestions. Advances in Pediatrics 2021;68:261
    CrossRef
  36. Wright AP, Jones CM, Chau DH, Matthew Gladden R, Sumner SA. Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media. Journal of Biomedical Informatics 2021;119:103824
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  37. Lamsal R, Harwood A, Read MR. Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey. ACM Computing Surveys 2023;55(4):1
    CrossRef
  38. Zhai S, Li YJ, Chi M. The Impact of Government Social Media Information Quality on Public Panic During the Infodemic. Frontiers in Psychology 2022;13
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  39. Soboleva MS, Loskutova EE, Kosova IV. Pharmacoepidemiological study of the use of e-pharmacies by the population. Journal Of Advanced Pharmacy Education And Research 2022;12(3):36
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  40. Sumner SA, Bowen D, Holland K, Zwald ML, Vivolo-Kantor A, Guy GP, Heuett WJ, Pressley DP, Jones CM. Estimating Weekly National Opioid Overdose Deaths in Near Real Time Using Multiple Proxy Data Sources. JAMA Network Open 2022;5(7):e2223033
    CrossRef
  41. Li SY, Swortwood MJ, Yu JC. Determination of morphine, codeine, and thebaine concentrations from poppy seed tea using magnetic carbon nanotubes facilitated dispersive micro-solid phase extraction and GC-MS analysis. Forensic Science International 2021;329:111052
    CrossRef
  42. Haupt MR, Cuomo R, Li J, Nali M, Mackey TK. The influence of social media affordances on drug dealer posting behavior across multiple social networking sites (SNS). Computers in Human Behavior Reports 2022;8:100235
    CrossRef
  43. Pashkov V, Soloviov O, Harkusha A. Digital Marketing: Problems of Internet Pharmacies Legal Regulation. SOCRATES. Rīgas Stradiņa universitātes Juridiskās fakultātes elektroniskais juridisko zinātnisko rakstu žurnāls / SOCRATES. Rīga Stradiņš University Faculty of Law Electronic Scientific Journal of Law 2021;3(21):191
    CrossRef
  44. Pashkov V, Soloviov O, Harkusha A. LEGAL CHARACTERISTICS OF PHARMACEUTICAL ACTIVITY UNDER THE EMERGENCY CONDITIONS: PANDEMIC AND WAR. Wiadomości Lekarskie 2022;75(9):2286
    CrossRef
  45. Bremer W, Plaisance K, Walker D, Bonn M, Love JS, Perrone J, Sarker A. Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature. Frontiers in Public Health 2023;11
    CrossRef
  46. Limbu YB, Huhmann BA. Illicit Online Pharmacies: A Scoping Review. International Journal of Environmental Research and Public Health 2023;20(9):5748
    CrossRef
  47. Fuller A, Vasek M, Mariconti E, Johnson SD. Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review. Drug and Alcohol Review 2024;43(1):56
    CrossRef
  48. Parker MA, Valdez D, Rao VK, Eddens KS, Agley J. 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 2023;25:e48405
    CrossRef
  49. Palomino K, Berdugo CR, Vélez JI, Belo VS. Leading consumption patterns of psychoactive substances in Colombia: A deep neural network-based clustering-oriented embedding approach. PLOS ONE 2023;18(8):e0290098
    CrossRef
  50. Carabot F, Donat-Vargas C, Santoma-Vilaclara J, Ortega MA, García-Montero C, Fraile-Martínez O, Zaragoza C, Monserrat J, Alvarez-Mon M, Alvarez-Mon MA. Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study. Journal of Medical Internet Research 2023;25:e45660
    CrossRef
  51. Kim D, Soloviov O. Rebuilding Ukraine - the Case of the Health Sector. SSRN Electronic Journal 2024;
    CrossRef
  52. Hakariya H, Yokoyama N, Lee J, Hakariya A, Ikejiri T. Illicit trade of prescription medications through X (Twitter) in Japan: cross-sectional study (Preprint). JMIR Formative Research 2023;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5144):

  1. Del Vigna F, Petrocchi M, Tommasi A, Zavattari C, Tesconi M. Social Informatics. 2016. Chapter 31:494
    CrossRef
  2. Spitzberg BH, Tsou M, Jung C. The Handbook of Applied Communication Research. 2020. :163
    CrossRef
  3. . The Illegal Trade of Medicines on Social Media. 2020. Chapter 2:7
    CrossRef
  4. Del Vigna F, Avvenuti M, Bacciu C, Deluca P, Petrocchi M, Marchetti A, Tesconi M. Advances in Intelligent Data Analysis XV. 2016. Chapter 8:86
    CrossRef
  5. . The Illegal Trade of Medicines on Social Media. 2020. Chapter 1:1
    CrossRef
  6. . Handbook of Computational Social Science for Policy. 2023. Chapter 15:279
    CrossRef
  7. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 90:1843
    CrossRef