1 00:00:00,320 --> 00:00:04,200 Speaker 1: Myth. Myth in the workplace is skyrocketing. According to new 2 00:00:04,240 --> 00:00:07,800 Speaker 1: figures from workplace testing company the Drug Detection Agency. In 3 00:00:07,920 --> 00:00:11,280 Speaker 1: January of this year, thirteen percent of workplace meth testing 4 00:00:11,760 --> 00:00:15,560 Speaker 1: meth testing returned to positive result thirteen percent. That number 5 00:00:15,640 --> 00:00:18,320 Speaker 1: jump to twenty five percent in March of this year. Now, 6 00:00:18,320 --> 00:00:21,680 Speaker 1: Glenn Dobson is the CEO of the Drug Detection Agency 7 00:00:21,680 --> 00:00:22,400 Speaker 1: and with us now. 8 00:00:22,239 --> 00:00:24,000 Speaker 2: Hey, Glenn, hi, Heather. 9 00:00:24,200 --> 00:00:26,800 Speaker 1: Does it follow that if you expand the testing to everyone, 10 00:00:26,880 --> 00:00:29,080 Speaker 1: that twenty five percent figure will hold. 11 00:00:30,160 --> 00:00:32,879 Speaker 2: Yeah, potentially. I mean, this is a snapshot of society, 12 00:00:33,280 --> 00:00:35,960 Speaker 2: and we've seen in the society that the wastewater stats 13 00:00:36,280 --> 00:00:39,960 Speaker 2: have doubled recently, and so this is obviously a snapshot 14 00:00:39,960 --> 00:00:42,840 Speaker 2: from the workplace. And I'd suspect that if we tested 15 00:00:42,880 --> 00:00:45,239 Speaker 2: further in the workplaces we would see a similar sort 16 00:00:45,240 --> 00:00:45,640 Speaker 2: of result. 17 00:00:45,760 --> 00:00:48,280 Speaker 1: Sheas twenty five percent. So what are we finding residue 18 00:00:48,320 --> 00:00:50,879 Speaker 1: from somebody having a party at the weekend or are 19 00:00:50,880 --> 00:00:53,400 Speaker 1: we finding that they are wah, you know the eyeballs 20 00:00:53,400 --> 00:00:54,760 Speaker 1: are spinning right now at work. 21 00:00:56,200 --> 00:00:58,520 Speaker 2: Yeah, it's it's all around the risk of impairment, and 22 00:00:58,840 --> 00:01:01,280 Speaker 2: what it's doing is whether it we're drug testing through 23 00:01:01,560 --> 00:01:05,160 Speaker 2: urine testing or oral fluid or mouth swabs. It's indicating 24 00:01:05,200 --> 00:01:07,839 Speaker 2: that the metabola or the drug there is present, which 25 00:01:07,880 --> 00:01:11,360 Speaker 2: means that it's potentially impairing their ability to either do 26 00:01:11,480 --> 00:01:14,520 Speaker 2: their work, make sound decisions, and create a real risk 27 00:01:14,560 --> 00:01:16,240 Speaker 2: in workplace. Which is the scary part. 28 00:01:16,319 --> 00:01:18,600 Speaker 1: For how long does it deter someone's ability to do 29 00:01:18,640 --> 00:01:21,160 Speaker 1: their work? You know, like with booze, you booze the 30 00:01:21,280 --> 00:01:24,680 Speaker 1: night before. Obviously when you're drunk, you can't do anything. 31 00:01:24,880 --> 00:01:27,680 Speaker 1: When you hungover, you're kind of operating at about seventy 32 00:01:27,680 --> 00:01:29,280 Speaker 1: five percent. What about with p. 33 00:01:30,800 --> 00:01:33,080 Speaker 2: Yeah, Look, there's a hole lot of factors that come 34 00:01:33,120 --> 00:01:34,760 Speaker 2: into it, as the purity of the drug, it's the 35 00:01:34,840 --> 00:01:39,440 Speaker 2: person's metabolism rate, and it's also their lifestyle as well. 36 00:01:39,480 --> 00:01:42,160 Speaker 2: But general terms, and this isn't an absolute black and 37 00:01:42,200 --> 00:01:44,240 Speaker 2: white the general terms, it can effect them for about 38 00:01:44,280 --> 00:01:47,960 Speaker 2: forty eight to seventy two hours. But with the thing 39 00:01:48,000 --> 00:01:51,040 Speaker 2: with myth is the user will go so hard and 40 00:01:51,080 --> 00:01:53,600 Speaker 2: so long and race to their lifestyle to stay up, 41 00:01:53,640 --> 00:01:56,840 Speaker 2: stay active, increasingly moving in someone that they have a 42 00:01:56,920 --> 00:01:59,840 Speaker 2: massive hangover effect afterwards when they come down, so that 43 00:02:00,080 --> 00:02:00,960 Speaker 2: it's a real risk as well. 44 00:02:01,000 --> 00:02:04,000 Speaker 1: Oh so like if you're on the glass pipe for 45 00:02:04,560 --> 00:02:06,560 Speaker 1: five days, then you're going to have a come down 46 00:02:06,600 --> 00:02:07,920 Speaker 1: for five days or something like that. 47 00:02:08,800 --> 00:02:10,679 Speaker 2: Yeah, I mean your body just can't to say, and 48 00:02:10,680 --> 00:02:13,160 Speaker 2: it's going to crash at some stage. And if you're 49 00:02:13,200 --> 00:02:15,280 Speaker 2: in charges and heavy machinery, if you're in charge of 50 00:02:15,600 --> 00:02:17,920 Speaker 2: something that safety sensitive, that's a real risk to you 51 00:02:18,000 --> 00:02:18,680 Speaker 2: and your work mates. 52 00:02:19,200 --> 00:02:21,640 Speaker 1: So do you think that more companies, given that it 53 00:02:21,680 --> 00:02:23,960 Speaker 1: is so and like surprisingly prolific, do you think that 54 00:02:24,000 --> 00:02:26,799 Speaker 1: more companies should actually start rolling out in the workplace, 55 00:02:26,840 --> 00:02:28,400 Speaker 1: even if it's not the kind of place that you 56 00:02:28,440 --> 00:02:29,480 Speaker 1: normally think should test. 57 00:02:30,800 --> 00:02:35,240 Speaker 2: Yeah. I mean the traditional workplace drug testing environment is 58 00:02:35,320 --> 00:02:37,600 Speaker 2: for what we call safety sense of workplaces. You know, 59 00:02:37,680 --> 00:02:40,920 Speaker 2: your heavy machinery, your equipment that you're using that if 60 00:02:40,960 --> 00:02:43,040 Speaker 2: you make a mistake, you could hurt yourself or others. 61 00:02:43,480 --> 00:02:45,120 Speaker 2: But what we are seeing is we are seeing a 62 00:02:45,120 --> 00:02:48,720 Speaker 2: lot more white collar industries starting to drug test. And 63 00:02:48,760 --> 00:02:51,880 Speaker 2: that's more around on your health and safety, but reputational 64 00:02:51,960 --> 00:02:58,280 Speaker 2: risk as well. You know, legal fraternity, financial fraternity. They 65 00:02:58,320 --> 00:03:03,000 Speaker 2: don't want their brand tarnish because an employee or a 66 00:03:03,080 --> 00:03:07,480 Speaker 2: high paid executive makes a bad decision based on taking drugs. 67 00:03:07,560 --> 00:03:11,919 Speaker 1: Rocle have the I guys started drug testing just. 68 00:03:11,960 --> 00:03:17,920 Speaker 2: Asking for certainly, healthcare is one industry that does do 69 00:03:18,240 --> 00:03:19,840 Speaker 2: an amount of drug deestine. I'll leave it at that. 70 00:03:20,240 --> 00:03:22,520 Speaker 1: Hey, listen, why is there a problem in Central North 71 00:03:22,600 --> 00:03:25,120 Speaker 1: Like I mean, if the average is twenty five percent, 72 00:03:25,120 --> 00:03:26,839 Speaker 1: these guys are heading thirty percent? What's up? 73 00:03:28,160 --> 00:03:32,200 Speaker 2: Yeah, that's a really good question, and I couldn't say 74 00:03:32,240 --> 00:03:34,000 Speaker 2: exactly what that is. It could be that there's a 75 00:03:34,040 --> 00:03:36,480 Speaker 2: really strong distribution network there at the moment. You know, 76 00:03:36,640 --> 00:03:39,800 Speaker 2: drugs get moved around the country quite a bit, and 77 00:03:39,880 --> 00:03:42,320 Speaker 2: it could be that there's a strong distribution network there 78 00:03:42,560 --> 00:03:46,520 Speaker 2: with good, strong local connections. And it could be that 79 00:03:46,560 --> 00:03:49,280 Speaker 2: they're experiencing tough times of the economy at the moment, 80 00:03:49,320 --> 00:03:52,880 Speaker 2: and during tough times, people make some unusual or what 81 00:03:52,920 --> 00:03:54,320 Speaker 2: you might say, bad decisions. 82 00:03:54,680 --> 00:03:56,320 Speaker 1: Glenn, it's good to talk to you. I really appreciate it. 83 00:03:56,360 --> 00:04:00,839 Speaker 1: Glen Dobson, the Drug Detection Agency CEO. 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