Public interest in Cannabis during election season: a Google Trends analysis

[1] Ayers JW(2017)Internet searches for suicide following the release of 13 reasons why JAMA Intern Med 177 1527-1529

[2] Althouse BM(2019)Media trends for the substance abuse and mental health services administration 800-662-HELP addiction treatment referral services after a celebrity overdose [Internet] JAMA Internal Med 179 441-426

[3] Leas EC(2019)Conflict of interest provisions in state laws governing medical and adult use Cannabis Am J Public Health 109 423-237

[4] Dredze M(2013)Kronic hysteria: exploring the intersection between Australian synthetic cannabis legislation, the media, and drug-related harm Int J Drug Policy 24 231-155

[5] Allem J-P(2017)Physicians-in-training are not prepared to prescribe medical marijuana Drug Alcohol Depend 180 151-209

[6] Ayers JW(2012)Virtually a drug scare: mephedrone and the impact of the internet on drug news transmission Int J Drug Policy 23 198-55

[7] Nobles AL(2013)Health online 2013 Health 2013 1-484

[8] Dredze M(2010)Using Google trends to assess interest in disasters Prehosp Disaster Med 25 482-151

[9] Bowling CM(2016)Predicting the incidence of hand, foot and mouth disease in Sichuan province, China using the ARIMA model Epidemiol Infect 144 144-668

[10] Glantz SA(2018)Application of ARIMA model in prediction of mortality rate of suicide in Hainan province Zhonghua Liu Xing Bing Xue Za Zhi 39 664-679

[1] Ayers JW(2017)Internet searches for suicide following the release of 13 reasons why JAMA Intern Med 177 1527-1529

[2] Althouse BM(2019)Media trends for the substance abuse and mental health services administration 800-662-HELP addiction treatment referral services after a celebrity overdose [Internet] JAMA Internal Med 179 441-426

[3] Leas EC(2019)Conflict of interest provisions in state laws governing medical and adult use Cannabis Am J Public Health 109 423-237

[4] Dredze M(2013)Kronic hysteria: exploring the intersection between Australian synthetic cannabis legislation, the media, and drug-related harm Int J Drug Policy 24 231-155

[5] Allem J-P(2017)Physicians-in-training are not prepared to prescribe medical marijuana Drug Alcohol Depend 180 151-209

[6] Ayers JW(2012)Virtually a drug scare: mephedrone and the impact of the internet on drug news transmission Int J Drug Policy 23 198-55

[7] Nobles AL(2013)Health online 2013 Health 2013 1-484

[8] Dredze M(2010)Using Google trends to assess interest in disasters Prehosp Disaster Med 25 482-151

[9] Bowling CM(2016)Predicting the incidence of hand, foot and mouth disease in Sichuan province, China using the ARIMA model Epidemiol Infect 144 144-668

[10] Glantz SA(2018)Application of ARIMA model in prediction of mortality rate of suicide in Hainan province Zhonghua Liu Xing Bing Xue Za Zhi 39 664-679