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ATS Literature Review, Consultations & Trial - Odyssey House

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Amphetamine‐Type Stimulants: Development of a Treatment Protocol<br />

opportunities’ was the area in which older methamphetamine users were more likely than younger<br />

users to report harm associated with their drug use (70% vs. 47%, p=0.0440). This is the only area<br />

which was statistically significant (Wilkins, Sweetsur & Griffiths, 2009).<br />

Table 3. Drug types used by frequent methamphetamine users in past six months by age (2006<br />

and 2007 samples combined)<br />

Frequent methamphetamine Frequent methamphetamine<br />

DRUG TYPE users under 25 years (n = 66) users 25 years or older (n = 158)<br />

Methamphetamine 97% 99%<br />

Alcohol 94% 78%*<br />

Cannabis 92% 84%<br />

Tobacco 86% 80%<br />

Ecstasy (MDMA) 62% 46%<br />

Ice (Crystal Meth) 56% 70%*<br />

BZP Party Pills 52% 30%*<br />

LSD 50% 27%*<br />

Nitrous Oxide 32% 14%*<br />

Mushrooms 24% 16%<br />

Ritalin 21% 23%<br />

GHB 18% 13%<br />

Amphetamine 15% 26%<br />

Benzodiazepines 15% 34%*<br />

Antidepressants 14% 8%<br />

Opioids 14% 29%*<br />

Cocaine 12% 8%<br />

Ketamine 12% 9%<br />

MDA 11% 4%<br />

Amyl nitrate 11% 11%<br />

Methadone 5% 27%*<br />

Solvents 2% 2%<br />

Heroin 2% 9%*<br />

* Statistically significant at the 0.05% level<br />

Source: Wilkins, Sweetsur & Griffiths (2009).<br />

Life problems were also highlighted in the IDMS study, with frequent users (both older and younger)<br />

most likely to endorse ‘Argued with others’; ‘Lost your temper’; ‘Had reduced work/study<br />

performance’ (with younger users noting this as more of a problem than older users: 77% vs. 64%);<br />

‘Did something under the influence of drugs and later regretted it’. Areas of statistical significance<br />

were ‘Damaged a friendship’ with older users more likely than younger users to nominate this (74%<br />

compared to 47%, p=0.0120) and ‘Going into debt’, which was once again more likely to be reported<br />

as an issue by older users (69% vs. 47%, p=0.0460). Younger users were more likely to report ‘Had a<br />

car crash’ and this was statistically significant (31% vs. 12%, p=0.0364) (Wilkins, Sweetsur & Griffiths,<br />

2009).<br />

In order to further investigate the possibility of the existence of regional variation in drug use, the<br />

combined findings from the 2006 and 2007 IDMS were examined for variations in drug use between<br />

the sites examined. Table 5 presents the information about frequent drug users by location:<br />

Auckland, Wellington and Christchurch (Wilkins, Sweetsur & Girling, 2008).<br />

Page 22 © Lynne Magor‐Blatch & James A. Pitts: <strong>Odyssey</strong> <strong>House</strong> McGrath Foundation 2008‐2009

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