Utility of Web search query data in testing theoretical assumptions about mephedrone

With growing access to the Internet, people who use drugs and traffickers started to obtain information about novel psychoactive substances (NPS) via online platforms. This paper aims to analyze whether a decreasing Web interest in formerly banned substances—cocaine, heroin, and MDMA—and the legislative status of mephedrone predict Web interest about this NPS.

[1]  L. Kraus,et al.  Are cannabis prevalence estimates comparable across countries and regions? A cross-cultural validation using search engine query data. , 2013, The International journal on drug policy.

[2]  A. Winstock,et al.  Substitutional potential of mephedrone: an analysis of the subjective effects , 2013, Human psychopharmacology.

[3]  L. Móró,et al.  Online drug user-led harm reduction in Hungary: a review of “Daath” , 2013, Harm Reduction Journal.

[4]  T. Freeman,et al.  Drug testing in Australian schools: policy implications and considerations of punitive, deterrence and/or prevention measures. , 2009, The International journal on drug policy.

[5]  M. Hoffmann,et al.  Can Google Searches Predict the Popularity and Harm of Psychoactive Agents? , 2016, Journal of medical Internet research.

[6]  Anders Ledberg,et al.  The interest in eight new psychoactive substances before and after scheduling. , 2015, Drug and alcohol dependence.

[7]  Xi-chuan Zhou,et al.  Notifiable infectious disease surveillance with data collected by search engine , 2010, Journal of Zhejiang University SCIENCE C.

[8]  W. van den Brink,et al.  Sociodemographic and substance use characteristics of γ hydroxybutyrate (GHB) dependent inpatients and associations with dependence severity. , 2013, Drug and alcohol dependence.

[9]  R. Kane,et al.  Kronic hysteria: exploring the intersection between Australian synthetic cannabis legislation, the media, and drug-related harm. , 2013, The International journal on drug policy.

[10]  Emily H. Chan,et al.  Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance , 2011, PLoS neglected tropical diseases.

[11]  S. Friedman,et al.  Drug arrests and injection drug deterrence. , 2011, American journal of public health.

[12]  A. Winstock,et al.  Mephedrone, new kid for the chop? , 2011, Addiction.

[13]  Wenbiao Hu,et al.  Role of big data in the early detection of Ebola and other emerging infectious diseases. , 2015, The Lancet. Global health.

[14]  Andrey Zheluk,et al.  Internet Search and Krokodil in the Russian Federation: An Infoveillance Study , 2014, Journal of medical Internet research.

[15]  D J Nutt,et al.  A web-based survey on mephedrone. , 2011, Drug and alcohol dependence.

[16]  M. Farré,et al.  Human Pharmacology of Mephedrone in Comparison with MDMA , 2016, Neuropsychopharmacology.

[17]  G. Hanson,et al.  4-Methylmethcathinone (Mephedrone): Neuropharmacological Effects of a Designer Stimulant of Abuse , 2011, Journal of Pharmacology and Experimental Therapeutics.

[18]  Silas W. Smith,et al.  Availability and Supply of Novel Psychoactive Substances , 2013 .

[19]  S. Yin,et al.  Monitoring a drug outbreak using the internet 819 Methods Setting , 2012 .

[20]  M. Evans-Brown,et al.  New Psychoactive Substances in Europe. An Update from the EU Early Warning System , 2015 .

[21]  Virginia M. C. Tze,et al.  Effective Prevention of Adolescent Substance Abuse – Educational versus Deterrent Approaches , 2012, Alberta Journal of Educational Research.

[22]  Laurent Karila,et al.  Synthetic Cathinones: A New Public Health Problem , 2015, Current neuropharmacology.

[23]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[24]  Suzanne Fergus,et al.  Mephedrone (4-methylmethcathinone; ‘meow meow’): chemical, pharmacological and clinical issues , 2011, Psychopharmacology.

[25]  A. Forsyth.  Virtually a drug scare: mephedrone and the impact of the internet on drug news transmission. , 2012, The International journal on drug policy.