need to know how high you are ? There ’s an app for that . Or rather , there could be very soon .
While it is now perfectly legal to light up a spliff innine US states(29 if you count medical marijuana ) , there is no accurate way to secernate how stoned a somebody is . A drunk driver can be appraise with a breathalyzer but forseveral reason , a like gimmick can not be used to test for marijuana intoxication .
So alternatively , the government is fund the development of an app , which they ’ve simply calledAm I Stoned ?
Right now , it is just a prototype and there are still a few glitches to image out ( more on that later ) but the results so far have been prognosticate .
The app has been designed to work out how high a user is free-base on their performance on a series of digital job that can be discharge on Mobile River or screen background . The tasks test the user on their cognitive speed , reaction time , fine motor power , and memory , which the app then compares to the user ’s service line ( created when they were n’t high-pitched ) .
In a double - blind study , researchers tested both the mobile and background versions on 24 volunteers . Some had been give a placebo , others a mild dose ( 7.5 milligram ) of THC , the psychoactive chemical compound ground in hemp , and the rest were give a eminent Cupid’s disease of THC ( 15 mg ) .
The solvent were not perfect . The mobile app was able to accurately tax whether the drug user was impaired in just one of the four tasks . The desktop version did a fiddling better and right predicted whether or not a user was high in three of the four labor .
" The effects of tetrahydrocannabinol on performance may be subtle , so we ask highly sensitive tasks to detect impairments,“explainedElisa Pabon , a doctoral student at the University of Chicago who presented the results at the American Society for Pharmacology and Therapeutics on Tuesday .
" It is probable that the calculator tasks , which conduct 15 to 20 minutes to complete , were more sore to THC impairment because they provided more opportunity to detect a drug effect . "
by from the obvious , there are a few other issues the researcher need to smooth out . For model , there are certain effects of marijuana , include vigilance and judgment planning , that are not currently being tested for and which would help the app accurately assess how mellow the user is . It also does not deal the fact that with a little drill a drug user could ameliorate their public presentation over time and outsmart the app .
For now , it seems , the users themselves might be the best measuring of how stoned they really are . The work found that substance abuser were " broadly speaking aware " of whether they were gamy or not .
