{"title":"Marijuana: Forensics of Abuse, Medical Uses, Controversy, and AI","authors":"Olen R. Brown","doi":"10.3390/forensicsci3040040","DOIUrl":null,"url":null,"abstract":"Motor vehicle accidents are a significant consequence of marijuana abuse. Limitations of its roadside detection and the forensic problems with establishing impairment require innovations that are scientifically achievable. Marijuana abuse currently is at an all-time high in the United States and its physiological effects make it a popular recreational drug that is reported to be a leading cause of preventable morbidity and mortality among the youth in the 18 most affluent nations. The medical benefits of drugs derived from marijuana complicate its forensic regulation. In an extensive 2017 report by The American Academy of Sciences, the evidence for the medical benefits of delta-9 tetrahydrocannabinol (derived from marijuana) were stated to be conclusive or substantial for the treatment of chronic pain in adults, as an antiemetic for treatment of chemotherapy-induced nausea and vomiting, and for improving patient-reported multiple sclerosis spasticity symptoms. The benefits from treatment for many other medical conditions were inconclusive or absent. The evidence is clear that safely driving a motor vehicle is significantly impaired while under the influence of marijuana. However, there is no roadside forensic test that reliably detects impairment, and there is an urgent need for such to protect the public while insuring the legal rights of users. There is strong societal pressure to relax marijuana’s forensic regulation, including removing it from Schedule I of the Controlled Substances Act. Artificial intelligence (AI) should be implemented with appropriate human control to resolve controversies.","PeriodicalId":45852,"journal":{"name":"Forensic Sciences Research","volume":"106 S7","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Sciences Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/forensicsci3040040","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0
Abstract
Motor vehicle accidents are a significant consequence of marijuana abuse. Limitations of its roadside detection and the forensic problems with establishing impairment require innovations that are scientifically achievable. Marijuana abuse currently is at an all-time high in the United States and its physiological effects make it a popular recreational drug that is reported to be a leading cause of preventable morbidity and mortality among the youth in the 18 most affluent nations. The medical benefits of drugs derived from marijuana complicate its forensic regulation. In an extensive 2017 report by The American Academy of Sciences, the evidence for the medical benefits of delta-9 tetrahydrocannabinol (derived from marijuana) were stated to be conclusive or substantial for the treatment of chronic pain in adults, as an antiemetic for treatment of chemotherapy-induced nausea and vomiting, and for improving patient-reported multiple sclerosis spasticity symptoms. The benefits from treatment for many other medical conditions were inconclusive or absent. The evidence is clear that safely driving a motor vehicle is significantly impaired while under the influence of marijuana. However, there is no roadside forensic test that reliably detects impairment, and there is an urgent need for such to protect the public while insuring the legal rights of users. There is strong societal pressure to relax marijuana’s forensic regulation, including removing it from Schedule I of the Controlled Substances Act. Artificial intelligence (AI) should be implemented with appropriate human control to resolve controversies.