Establishing a link between prescription drug abuse and illicit online pharmacies: Analysis of twitter data

Journal of Medical Internet Research

Volumn 17, Issue 12, 2015, Pages

  Katsuki, Takeo ^a   Mackey, Tim Ken ^b,c,d   Cuomo, Raphael ^d,e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of California   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d Global Health Policy Institute   (United States)

^e SAN DIEGO STATE UNIVERSITY   (United States)

Author keywords

Cyberpharmacies; EHealth; Illicit Internet pharmacies; Infodemiology; Infoveillance; Prescription drug abuse; Social media; Surveillance; Twitter

Indexed keywords

PRESCRIPTION DRUG;

ADOLESCENT; HUMAN; INTERNET; PHARMACY; PRESCRIPTION DRUG MISUSE; SOCIAL MEDIA; UTILIZATION;

ADOLESCENT; HUMANS; INTERNET; PHARMACEUTICAL SERVICES, ONLINE; PRESCRIPTION DRUG MISUSE; PRESCRIPTION DRUGS; SOCIAL MEDIA;

EID: 84954326307     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.5144     Document Type: Article

References (39)

1. Mackey TK, Liang BA, Strathdee SA. Digital social media, youth, and nonmedical use of prescription drugs: The need for reform. J Med Internet Res 2013; 15(7): E143 [FREE Full text] [doi: 10.2196/jmir.2464] [Medline: 23892156]
2. McCabe SE, West BT, Teter CJ, Boyd CJ. Co-ingestion of prescription opioids and other drugs among high school seniors: Results from a national study. Drug Alcohol Depend 2012 Nov 1; 126(1-2): 65-70 [FREE Full text] [doi: 10.1016/j.drugalcdep.2012.04.017] [Medline: 22609061]
3. Inciardi JA, Surratt HL, Cicero TJ, Rosenblum A, Ahwah C, Bailey JE, et al. Prescription drugs purchased through the internet: Who are the end users? Drug Alcohol Depend 2010 Jul 1; 110(1-2): 21-29 [FREE Full text] [doi: 10.1016/j.drugalcdep.2010.01.015] [Medline: 20227199]
4. Lenhard A. Pew Internet Research. 2015 Apr 09. Teens, Social Media & Technology Overview 2015 URL: Http://www.pewinternet.org/2015/04/09/teens-social-media-Technology-2015/[accessed 2015-11-30] [WebCite Cache ID 6dQoCIXUh]
5. Stoové MA, Pedrana AE. Making the most of a brave new world: Opportunities and considerations for using Twitter as a public health monitoring tool. Prev Med 2014 Jun; 63: 109-111. [doi: 10.1016/j.ypmed.2014.03.008] [Medline: 24632229]
6. Liang BA, Mackey T. Searching for safety: Addressing search engine, website, and provider accountability for illicit online drug sales. Am J Law Med 2009; 35(1): 125-184. [Medline: 19534258]
7. Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An exploration of social circles and prescription drug abuse through Twitter. J Med Internet Res 2013; 15(9): E189 [FREE Full text] [doi: 10.2196/jmir.2741] [Medline: 24014109]
8. Duggan M, Ellison N, Lampe C, Lenhart A, Madden M. Pew Internet Research. 2015 Jan 09. Demographics of Key Social Networking Platforms Internet URL: Http://www.pewinternet.org/2015/01/09/demographics-of-key-social-networking-platforms-2/[accessed 2015-11-29] [WebCite Cache ID 6dPUw4mIf]
9. Ghosh DD, Guha R. What are we 'tweeting' about obesity? Mapping tweets with Topic Modeling and Geographic Information System. Cartogr Geogr Inf Sci 2013; 40(2): 90-102 [FREE Full text] [doi: 10.1080/15230406.2013.776210] [Medline: 25126022]
10. Hanson CL, Burton SH, Giraud-Carrier C, West JH, Barnes MD, Hansen B. Tweaking and tweeting: Exploring Twitter for nonmedical use of a psychostimulant drug (Adderall) among college students. J Med Internet Res 2013; 15(4): E62 [FREE Full text] [doi: 10.2196/jmir.2503] [Medline: 23594933]
11. Huang J, Kornfield R, Szczypka G, Emery SL. A cross-sectional examination of marketing of electronic cigarettes on Twitter. Tob Control 2014 Jul; 23 Suppl 3: Iii26-iii30 [FREE Full text] [doi: 10.1136/tobaccocontrol-2014-051551] [Medline: 24935894]
12. Bosley JC, Zhao NW, Hill S, Shofer FS, Asch DA, Becker LB, et al. Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication. Resuscitation 2013 Feb; 84(2): 206-212 [FREE Full text] [doi: 10.1016/j.resuscitation.2012.10.017] [Medline: 23108239]
13. Myslín M, Zhu S, Chapman W, Conway M. Using twitter to examine smoking behavior and perceptions of emerging tobacco products. J Med Internet Res 2013; 15(8): E174 [FREE Full text] [doi: 10.2196/jmir.2534] [Medline: 23989137]
14. O'Connor K, Pimpalkhute P, Nikfarjam A, Ginn R, Smith KL, Gonzalez G. Pharmacovigilance on twitter? Mining tweets for adverse drug reactions. AMIA Annu Symp Proc 2014; 2014: 924-933 [FREE Full text] [Medline: 25954400]
15. Freifeld C, Brownstein J, Menone C, Bao W, Filice R, Kass-Hout T, et al. Digital drug safety surveillance: Monitoring pharmaceutical products in twitter. Drug Saf 2014 May; 37(5): 343-350 [FREE Full text] [doi: 10.1007/s40264-014-0155-x] [Medline: 24777653]
16. Carbonell P, Mayer MA, Bravo A. Exploring brand-name drug mentions on Twitter for pharmacovigilance. Stud Health Technol Inform 2015; 210: 55-59. [Medline: 25991101]
17. Broniatowski DA, Paul MJ, Dredze M. National and local influenza surveillance through Twitter: An analysis of the 2012-2013 influenza epidemic. PLoS One 2013; 8(12): E83672 [FREE Full text] [doi: 10.1371/journal.pone.0083672] [Medline: 24349542]
18. Dasgupta N, Freifeld C, Brownstein JS, Menone CM, Surratt HL, Poppish L, et al. Crowdsourcing black market prices for prescription opioids. J Med Internet Res 2013; 15(8): E178 [FREE Full text] [doi: 10.2196/jmir.2810] [Medline: 23956042]
19. Mackey TK, Liang BA. Global reach of direct-To-consumer advertising using social media for illicit online drug sales. J Med Internet Res 2013; 15(5): E105 [FREE Full text] [doi: 10.2196/jmir.2610] [Medline: 23718965]
20. NIDA. drugabuse. 2015 Oct. Commonly Abused Prescription Drugs Chart Internet URL: Http://www.drugabuse.gov/drugs-Abuse/commonly-Abused-drugs-charts [accessed 2015-11-29] [WebCite Cache ID 6dPV9HuS2]
21. Yoon S, Elhadad N, Bakken S. A practical approach for content mining of Tweets. Am J Prev Med 2013 Jul; 45(1): 122-129 [FREE Full text] [doi: 10.1016/j.amepre.2013.02.025] [Medline: 23790998]
22. Kim AE, Hansen HM, Murphy J, Richards AK, Duke J, Allen JA. Methodological considerations in analyzing Twitter data. J Natl Cancer Inst Monogr 2013 Dec; 2013(47): 140-146. [doi: 10.1093/jncimonographs/lgt026] [Medline: 24395983]
23. Kuhn M. Building predictive models in R using the caret package. J Stat Soft 2008; 28(5): -. [doi: 10.18637/jss.v028.i05]
24. Feinerer I, Hornik K, Meyer D. Text Mining Infrastructure in R. J Stat Soft 2008; 25(5): 1. [doi: 10.18637/jss.v025.i05]
25. LegitScript.com. Frequently Asked Questions URL: Http://www.legitscript.com/about/faq/[accessed 2015-11-30] [WebCite Cache ID 6dQolkzEc]
26. Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, et al. A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. J Med Internet Res 2014; 16(10): E236 [FREE Full text] [doi: 10.2196/jmir.3416] [Medline: 25331122]
27. Burton SH, Tanner KW, Giraud-Carrier CG, West JH, Barnes MD. "Right time, right place" health communication on Twitter: Value and accuracy of location information. J Med Internet Res 2012; 14(6): E156 [FREE Full text] [doi: 10.2196/jmir.2121] [Medline: 23154246]
28. Streaming message types. 2015. URL: Https://dev.twitter.com/streaming/overview/messages-Types [accessed 2015-11-30] [WebCite Cache ID 6dQorZ0Go]
29. Adrover C, Bodnar T, Huang Z, Telenti A, Salathé M. Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter. JMIR Public Health Surveill 2015 Jul 27; 1(2): E7 [FREE Full text] [doi: 10.2196/publichealth.4488]
30. Zhang N, Campo S, Janz KF, Eckler P, Yang J, Snetselaar LG, et al. Electronic word of mouth on twitter about physical activity in the United States: Exploratory infodemiology study. J Med Internet Res 2013; 15(11): E261 [FREE Full text] [doi: 10.2196/jmir.2870] [Medline: 24257325]
31. McIver DJ, Hawkins JB, Chunara R, Chatterjee AK, Bhandari A, Fitzgerald TP, et al. Characterizing Sleep Issues Using Twitter. J Med Internet Res 2015; 17(6): E140 [FREE Full text] [doi: 10.2196/jmir.4476] [Medline: 26054530]
32. Paul MJ, Dredze M. Discovering health topics in social media using topic models. PLoS One 2014; 9(8): E103408 [FREE Full text] [doi: 10.1371/journal.pone.0103408] [Medline: 25084530]
33. Choundhury MD, Gamon M, Counts S, Horvitz E. Predicting Depression via Social Media. In: Seventh International AAAI Conference on Weblogs and Social Media. 2013 Presented at: ICWSM 2013; July 8-10, 2013; Boston, MA p. 128-137.
34. Choundhury MD, Counts S, Horvitz E. Social Media as a Measurement Tool of Depression in Populations. : ACM; 2013 Presented at: 5th Annual ACM Web Science Conference; May 2-4, 2013; Paris, France p. 47-56. [doi: 10.1145/2464464.2464480]
35. Shutler L, Nelson LS, Portelli I, Blachford C, Perrone J. Drug Use in the Twittersphere: A Qualitative Contextual Analysis of Tweets About Prescription Drugs. J Addict Dis 2015; 34(4): 303-310. [doi: 10.1080/10550887.2015.1074505] [Medline: 26364675]
36. Harris J, Moreland-Russell S, Choucair B, Mansour R, Staub M, Simmons K. Tweeting for and against public health policy: Response to the Chicago Department of Public Health's electronic cigarette Twitter campaign. J Med Internet Res 2014; 16(10): E238 [FREE Full text] [doi: 10.2196/jmir.3622] [Medline: 25320863]
37. Prochaska JJ, Pechmann C, Kim R, Leonhardt JM. Twitter=quitter? An analysis of Twitter quit smoking social networks. Tob Control 2012 Jul; 21(4): 447-449 [FREE Full text] [doi: 10.1136/tc.2010.042507] [Medline: 21730101]
38. Lee JL, DeCamp M, Dredze M, Chisolm MS, Berger ZD. What are health-related users tweeting? A qualitative content analysis of health-related users and their messages on twitter. J Med Internet Res 2014; 16(10): E237 [FREE Full text] [doi: 10.2196/jmir.3765] [Medline: 25591063]
39. Nelson L, Meisel Z, Perrone J. Opportunities for Exploring and Reducing Prescription Drug Abuse Through Social Media. J Addict Dis 2015; 34(2-3): 178-184. [doi: 10.1080/10550887.2015.1059712] [Medline: 26075802]