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Published on 17.04.13 in Vol 15, No 4 (2013): April

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

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)

  1. 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
    CrossRef
  2. Kim Y, Kim JH. Using photos for public health communication: A computational analysis of the Centers for Disease Control and Prevention Instagram photos and public responses. Health Informatics Journal 2020;26(3):2159
    CrossRef
  3. Cavazos-Rehg PA, Sowles SJ, Krauss MJ, Agbonavbare V, Grucza R, Bierut L. A content analysis of tweets about high-potency marijuana. Drug and Alcohol Dependence 2016;166:100
    CrossRef
  4. . A customizable pipeline for social media text normalization. Social Network Analysis and Mining 2017;7(1)
    CrossRef
  5. Tofighi B, Aphinyanaphongs Y, Marini C, Ghassemlou S, Nayebvali P, Metzger I, Raghunath A, Thomas S. Detecting illicit opioid content on Twitter. Drug and Alcohol Review 2020;39(3):205
    CrossRef
  6. Witcraft SM, Veronica Smith C, Ann Pollard M, Dixon LJ. Is Greek affiliation a prescription for drug abuse? Examining misuse of prescription stimulants and downers in high school and college. Journal of American College Health 2020;68(7):678
    CrossRef
  7. 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
    CrossRef
  8. 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
    CrossRef
  9. 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
    CrossRef
  10. 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
    CrossRef
  11. 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
  12. 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
    CrossRef
  13. 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
    CrossRef
  14. 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
    CrossRef
  15. 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
    CrossRef
  16. 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
    CrossRef
  17. 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
    CrossRef
  18. Watson GL, Arcona AP, Antonuccio DO. The ADHD Drug Abuse Crisis on American College Campuses. Ethical Human Psychology and Psychiatry 2015;17(1):5
    CrossRef
  19. 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)
    CrossRef
  20. Barnes M, Hanson C, Giraud-Carrier C. The Case for Computational Health Science. Journal of Healthcare Informatics Research 2018;2(1-2):99
    CrossRef
  21. 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
    CrossRef
  22. 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
    CrossRef
  23. . Adverse drug reactions and social media. Adverse Drug Reaction Bulletin 2014;286(1):1103
    CrossRef
  24. 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
    CrossRef
  25. 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
    CrossRef
  26. . Online Survey on Twitter: A Urological Experience. Journal of Medical Internet Research 2013;15(10):e238
    CrossRef
  27. Lardon J, Abdellaoui R, Bellet F, Asfari H, Souvignet J, Texier N, Jaulent M, Beyens M, Burgun A, Bousquet C. Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review. Journal of Medical Internet Research 2015;17(7):e171
    CrossRef
  28. 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
    CrossRef
  29. Raghupathi V, Fogel J. Facebook advertisements and purchase of weight-loss products. Journal of Medical Marketing: Device, Diagnostic and Pharmaceutical Marketing 2013;13(4):201
    CrossRef
  30. Harrison AG, Harrison KA, Armstrong IT. Discriminating malingered attention Deficit Hyperactivity Disorder from genuine symptom reporting using novel Personality Assessment Inventory validity measures. Applied Neuropsychology: Adult 2022;29(1):10
    CrossRef
  31. 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
    CrossRef
  32. Bartlett C, Wurtz R. Twitter and Public Health. Journal of Public Health Management and Practice 2015;21(4):375
    CrossRef
  33. 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
  34. . Twitter and Health Science Research. Western Journal of Nursing Research 2015;37(10):1269
    CrossRef
  35. Hockenhull J, Wood DM, Dargan PI. The Availability of Modafinil and Methylphenidate Purchased from the Internet in the United Kingdom Without a Prescription. Substance Use & Misuse 2020;55(1):56
    CrossRef
  36. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  37. Braithwaite SR, Giraud-Carrier C, West J, Barnes MD, Hanson CL. Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. JMIR Mental Health 2016;3(2):e21
    CrossRef
  38. Vagwala MK, Bicquelet A, Didziokaite G, Coomber R, Corrigan O, Singh I. Towards a Moral Ecology of Pharmacological Cognitive Enhancement in British Universities. Neuroethics 2017;10(3):389
    CrossRef
  39. 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
    CrossRef
  40. 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
    CrossRef
  41. 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
    CrossRef
  42. 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
  43. Ranney ML, Genes N. Social media and healthcare quality improvement: a nascent field. BMJ Quality & Safety 2016;25(6):389
    CrossRef
  44. 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
    CrossRef
  45. 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
    CrossRef
  46. 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
    CrossRef
  47. 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
    CrossRef
  48. Muralidhara S, Paul MJ. #Healthy Selfies: Exploration of Health Topics on Instagram. JMIR Public Health and Surveillance 2018;4(2):e10150
    CrossRef
  49. 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
    CrossRef
  50. Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
    CrossRef
  51. 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
    CrossRef
  52. 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
  53. 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
    CrossRef
  54. . Analysing Twitter as an Opportunity to Understand Substance Use. SSRN Electronic Journal 2015;
    CrossRef
  55. 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
    CrossRef
  56. 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
    CrossRef
  57. Fogel J, Adnan M. Trust for pharmaceutical company direct-to-consumer prescription medication advertisements. Health Policy and Technology 2018;7(1):26
    CrossRef
  58. 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
    CrossRef
  59. 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
    CrossRef
  60. 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
    CrossRef
  61. 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)
    CrossRef
  62. 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
    CrossRef
  63. 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
    CrossRef
  64. 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
    CrossRef
  65. 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)
    CrossRef
  66. 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
    CrossRef
  67. 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
    CrossRef
  68. 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
    CrossRef
  69. 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)
    CrossRef
  70. 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
    CrossRef
  71. 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
    CrossRef
  72. 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
    CrossRef
  73. 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
  74. Salimian PK, Chunara R, Weitzman ER. Averting the Perfect Storm: Addressing Youth Substance Use Risk From Social Media Use. Pediatric Annals 2014;43(10)
    CrossRef
  75. Conway M, O’Connor D. Social media, big data, and mental health: current advances and ethical implications. Current Opinion in Psychology 2016;9:77
    CrossRef
  76. 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
    CrossRef
  77. 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)
    CrossRef
  78. 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
    CrossRef
  79. Yang J, Tsou M, Jung C, Allen C, Spitzberg BH, Gawron JM, Han S. Social media analytics and research testbed (SMART): Exploring spatiotemporal patterns of human dynamics with geo-targeted social media messages. Big Data & Society 2016;3(1):205395171665291
    CrossRef
  80. 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
    CrossRef
  81. McDermott H, Lane H, Alonso M. Working smart: the use of ‘cognitive enhancers’ by UK university students. Journal of Further and Higher Education 2021;45(2):270
    CrossRef
  82. Harrison AG, Armstrong IT. Differences in performance on the test of variables of attention between credible vs. noncredible individuals being screened for attention deficit hyperactivity disorder. Applied Neuropsychology: Child 2020;9(4):314
    CrossRef
  83. Sarker A, O’Connor K, Ginn R, Scotch M, Smith K, Malone D, Gonzalez G. Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter. Drug Safety 2016;39(3):231
    CrossRef
  84. 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
  85. Katsuki T, Mackey TK, Cuomo R. Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data. Journal of Medical Internet Research 2015;17(12):e280
    CrossRef
  86. 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
    CrossRef
  87. Brandt SA, Taverna EC, Hallock RM. A survey of nonmedical use of tranquilizers, stimulants, and pain relievers among college students: Patterns of use among users and factors related to abstinence in non-users. Drug and Alcohol Dependence 2014;143:272
    CrossRef
  88. Kamiński M, Szymańska C, Nowak JK. Whose Tweets on COVID-19 Gain the Most Attention: Celebrities, Political, or Scientific Authorities?. Cyberpsychology, Behavior, and Social Networking 2021;24(2):123
    CrossRef
  89. van Draanen J, Tao H, Gupta S, Liu S. Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(4):e18540
    CrossRef
  90. Al-Garadi MA, Yang Y, Cai H, Ruan Y, O’Connor K, Graciela G, Perrone J, Sarker A. Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC Medical Informatics and Decision Making 2021;21(1)
    CrossRef
  91. Kaur S, Kaul P, Zadeh PM. Monitoring the Dynamics of Emotions during COVID-19 Using Twitter Data. Procedia Computer Science 2020;177:423
    CrossRef
  92. Petersen MA, Petersen IL, Poulsen C, Nørgaard LS. #studydrugs–Persuasive posting on Instagram. International Journal of Drug Policy 2021;95:103100
    CrossRef
  93. Hockenhull J, Black JC, Bletz A, Margolin Z, Olson R, Wood DM, Dart RC, Dargan PI. An evaluation of online discussion relating to nonmedical use of prescription opioids within the UK. British Journal of Clinical Pharmacology 2021;87(4):1637
    CrossRef
  94. Sharif S, Guirguis A, Fergus S, Schifano F. The Use and Impact of Cognitive Enhancers among University Students: A Systematic Review. Brain Sciences 2021;11(3):355
    CrossRef
  95. Alvarez-Mon MA, de Anta L, Llavero-Valero M, Lahera G, Ortega MA, Soutullo C, Quintero J, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter. Journal of Clinical Medicine 2021;10(12):2668
    CrossRef
  96. Lovett BJ, Harrison AG. Assessing adult ADHD: New research and perspectives. Journal of Clinical and Experimental Neuropsychology 2021;43(4):333
    CrossRef
  97. Riordan BC, Merrill JE, Ward RM, Raubenheimer J. When are alcohol-related blackout Tweets written in the United States?. Addictive Behaviors 2022;124:107110
    CrossRef
  98. van der Sanden R, Wilkins C, Romeo JS, Rychert M, Barratt MJ. Predictors of using social media to purchase drugs in New Zealand: Findings from a large-scale online survey. International Journal of Drug Policy 2021;98:103430
    CrossRef
  99. Ali M, Dreher N, Hannah T, Li A, Asghar N, Spiera Z, Marayati NF, Durbin J, Gometz A, Lovell M, Choudhri T. Concussion Incidence and Recovery Among Youth Athletes With ADHD Taking Stimulant-Based Therapy. Orthopaedic Journal of Sports Medicine 2021;9(10):232596712110325
    CrossRef
  100. Mahata D, Friedrichs J, Shah RR, Jiang J. Detecting Personal Intake of Medicine from Twitter. IEEE Intelligent Systems 2018;33(4):87
    CrossRef
  101. Al-Garadi MA, Yang Y, Guo Y, Kim S, Love JS, Perrone J, Sarker A. Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use. Health Data Science 2022;2022
    CrossRef
  102. Sarker A, Al-Garadi MA, Ge Y, Nataraj N, Jones CM, Sumner SA. Signals of increasing co-use of stimulants and opioids from online drug forum data. Harm Reduction Journal 2022;19(1)
    CrossRef
  103. Roemmich K, Andalibi N. Data Subjects' Conceptualizations of and Attitudes Toward Automatic Emotion Recognition-Enabled Wellbeing Interventions on Social Media. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1
    CrossRef
  104. Kasson E, Filiatreau LM, Davet K, Kaiser N, Sirko G, Bekele M, Cavazos-Rehg P. Examining Symptoms of Stimulant Misuse and Community Support Among Members of a Recovery-Oriented Online Community. Journal of Psychoactive Drugs 2023;:1
    CrossRef
  105. Shin H, Yuniar CT, Oh S, Purja S, Park S, Lee H, Kim E. The Adverse Effects and Nonmedical Use of Methylphenidate Before and After the Outbreak of COVID-19: Machine Learning Analysis. Journal of Medical Internet Research 2023;25:e45146
    CrossRef
  106. Raza S, Schwartz B, Lakamana S, Ge Y, Sarker A. A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications. BMC Digital Health 2023;1(1)
    CrossRef
  107. Antshel KM, Park A, Maisto S, Faraone SV. Primary prevention of prescription stimulant misuse in first-year college students. Journal of American College Health 2024;:1
    CrossRef

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    CrossRef
  3. An Z, McLaughlin M, Hou J, Nam Y, Hu C, Park M, Meng J. Social Computing and Social Media. 2014. Chapter 15:160
    CrossRef
  4. Hu H, Phan N, Geller J, Vo H, Manasi B, Huang X, Di Lorio S, Dinh T, Chun SA. Computational Data and Social Networks. 2018. Chapter 28:330
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  5. Forlini C, Partridge B, Lucke J, Racine E. Handbook of Neuroethics. 2015. Chapter 83:1473
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  6. 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
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  12. Quintero G, Nichter M. A Companion to Medical Anthropology. 2022. :295
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  15. Whig P, Velu A, Nadikattu RR, Alkali YJ. Handbook of Computational Sciences. 2023. :245
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