Published on in Vol 18, No 9 (2016): September

Journals
- Borodovsky J, Marsch L, Budney A. Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights. JMIR Public Health and Surveillance 2018;4(2):e48 View
- Lewis N, Martinez L. Information Seeking as A Predictor of Risk Behavior: Testing A Behavior and Risk Information Engagement Model (BRIE). Journal of Health Communication 2020;25(6):474 View
- Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
- Mavragani A, Ochoa G. Forecasting AIDS prevalence in the United States using online search traffic data. Journal of Big Data 2018;5(1) View
- Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1) View
- Fedorova E, Schrager S, Robinson L, Cepeda A, Wong C, Iverson E, Lankenau S. Illicit drug use and prescription drug misuse among young adult medical cannabis patients and non-patient users in Los Angeles. Drug and Alcohol Dependence 2019;198:21 View
- Nitzburg G, Weber I, Yom-Tov E. Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis. Journal of Medical Internet Research 2019;21(5):e10946 View
- Russell C, Rueda S, Room R, Tyndall M, Fischer B. Routes of administration for cannabis use – basic prevalence and related health outcomes: A scoping review and synthesis. International Journal of Drug Policy 2018;52:87 View
- Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
- Mavragani A, Ochoa G, Tsagarakis K. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270 View
- Hammond C, Chaney A, Hendrickson B, Sharma P. Cannabis use among U.S. adolescents in the era of marijuana legalization: a review of changing use patterns, comorbidity, and health correlates. International Review of Psychiatry 2020;32(3):221 View
- Meacham M, Paul M, Ramo D. Understanding emerging forms of cannabis use through an online cannabis community: An analysis of relative post volume and subjective highness ratings. Drug and Alcohol Dependence 2018;188:364 View
- Daniulaityte R, Zatreh M, Lamy F, Nahhas R, Martins S, Sheth A, Carlson R. A Twitter-based survey on marijuana concentrate use. Drug and Alcohol Dependence 2018;187:155 View
- Daniulaityte R, Lamy F, Barratt M, Nahhas R, Martins S, Boyer E, Sheth A, Carlson R. Characterizing marijuana concentrate users: A web-based survey. Drug and Alcohol Dependence 2017;178:399 View
- Sagar K, Lambros A, Dahlgren M, Smith R, Gruber S. Made from concentrate? A national web survey assessing dab use in the United States. Drug and Alcohol Dependence 2018;190:133 View
- Krauss M, Rajbhandari B, Sowles S, Spitznagel E, Cavazos-Rehg P. A latent class analysis of poly-marijuana use among young adults. Addictive Behaviors 2017;75:159 View
- Mavragani A, Sampri A, Sypsa K, Tsagarakis K. Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era. JMIR Public Health and Surveillance 2018;4(1):e24 View
- Meacham M, Roh S, Chang J, Ramo D. Frequently asked questions about dabbing concentrates in online cannabis community discussion forums. International Journal of Drug Policy 2019;74:11 View
- Hammond D, Goodman S, Wadsworth E, Rynard V, Boudreau C, Hall W. Evaluating the impacts of cannabis legalization: The International Cannabis Policy Study. International Journal of Drug Policy 2020;77:102698 View
- Hall W, Gartner C, Bonevski B. Lessons from the public health responses to the US outbreak of vaping‐related lung injury. Addiction 2021;116(5):985 View
- Breitbarth A, Morgan J, Jones A. E-cigarettes—An unintended illicit drug delivery system. Drug and Alcohol Dependence 2018;192:98 View
- Tai H, Swartz M, Marsden D, Perry C. The Future of Substance Abuse Now: Relationships among Adolescent Use of Vaping Devices, Marijuana, and Synthetic Cannabinoids. Substance Use & Misuse 2021;56(2):192 View
- Ghosh A, Kaur S, Roub F. Use and interest of electronic nicotine delivery systems (ENDS): Assessing the validity of Google Trends. The American Journal of Drug and Alcohol Abuse 2021;47(4):414 View
- Singh S, Bhatia G, Sharma P, Parmar A. Celebrity drug use reporting in Indian media and its impact on drug-related online search behavior. Indian Journal of Psychiatry 2021;63(4):391 View
- Wang D, Guerra A, Wittke F, Lang J, Bakker K, Lee A, Finelli L, Chen Y. Real-Time Monitoring of Infectious Disease Outbreaks with a Combination of Google Trends Search Results and the Moving Epidemic Method: A Respiratory Syncytial Virus Case Study. Tropical Medicine and Infectious Disease 2023;8(2):75 View
- Meier M, Docherty M, Leischow S, Grimm K, Pardini D. Cannabis Concentrate Use in Adolescents. Pediatrics 2019;144(3) View
- Parissi-Poumian Y, de San Jorge-Cárdenas X, López-Ornelas M, López-Zetina J, Luzanía-Valerio M, Mota-Morales M, Ortiz-León M. Internet search patterns for psychoactive substance use prevention and treatment in Mexico: A cross-sectional study. Journal of Taibah University Medical Sciences 2023;18(2):246 View
- Sevigny E, Greathouse J, Medhin D. Health, safety, and socioeconomic impacts of cannabis liberalization laws: An evidence and gap map. Campbell Systematic Reviews 2023;19(4) View
- Hammond C, Boustead A, Fristad M, Pawar A, Steelesmith D, Fontanella C. Impact of Changing Cannabis Laws on Cannabis Use Disorders, Serious Mental Illness, and Mortality Outcomes in US Youth: A Narrative Review. Adolescent Psychiatry 2023;13(3):123 View
- Zou T, Zhang R, Hu L, Yang G, Chen X, Wang M, Cheng T, Nie S, Liu L, Hong S. Uncovering mechanism of hepatotoxicity diseases caused by tetrahydrocannabinol based on novel network toxicology and experimental verification. Scientific Reports 2025;15(1) View
Books/Policy Documents
Conference Proceedings
- Motlagh F, Al Issa H. 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM). Developing Machine Learning Model for Disambiguate Pattern Recognition on Social Media View