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Professor Michael Farrell, 'Trends in methamphetamine use and harms' PowerPoint Presentation
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Ice Inquiry - Sydney Hearings SCII.001.012.0001 Professor Michael Farrell, 'Trends in methamphetamine use and harms' PowerPoint Presentation SCII.001.012.0001 Trends in methamphetamine use and harms UNSW Professor Michael Farrell and Drug
Ice Inquiry - Sydney Hearings
SCII.001.012.0001
Professor Michael Farrell, 'Trends in methamphetamine use and harms' PowerPoint Presentation
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Professor Michael Farrell and Drug Trends Team
Trends in methamphetamine use and harms
Trends in methamphetamine use
UNSW
AUST R AL I A
Medicine National Drug and Alcohol Research Centre
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Sources of Data
National Household Surveys Other indirect methods Surveillance and other information Wastewater Analysis Health Data Police and Arrest Data
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Prevalence of methamphetamine use as measured in household surveys
Prevalence of methamphetamine use estimated in Australian surveys remains stable (2.1%, in 2010 and 2013 NDSHS) However, a shift towards using crystal over other forms among those who use methamphetamine.
There has also been an increase in the frequency of use, weekly methamphetamine use increased in 2013
Source: 2016 National Drug Strategy Household Survey
51 50 29 20 27 22 50 57 12 12 8 2 10 20 30 40 50 60 2007 2010 2013 2016
Forms of meth/amphetamine used, recent (a) users aged 14 years or older, 2007-2016 (percent)
Powder Crystal Liquid Base
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Issues with these data
underestimates more stigmatised and less common forms of substance use
prevalence
household surveys, which are declining over time (across most household-based surveys of this kind, not just the NDSHS)
The Difference is Research“Direct” estimates of prevalence (household surveys) underestimate what is thought to be “true” prevalence
in treatment for heroin dependence
“Indirect” prevalence estimates attempt to overcome these problems
used in many countries across Europe, North America and in Australia
method is used result in figures that will have wide confidence intervals.
Making “indirect” prevalence estimates
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The Difference is ResearchIndirect prevalence estimates: multiplier method
Text box: Hypothetical example of an estimate of the number of dependent amphetamine users based on treatment episodes for amphetamine dependence Benchmark data: the number of episodes across Australia in a given year for treatment of amphetamine dependence Multiplier: the inverse of the proportion of people who are dependent upon amphetamines who receive treatment in a given year In this hypothetical example, data suggest that 20,000 Australians received treatment for amphetamine dependence in a given year. Surveys of dependent amphetamine users indicate that 10% received treatment in a given year. This gives a multiplier of 10. Limitations of this method is clear in that it relies on the estimates derived from a survey at a given time in a given locality and may significantly vary across time and place. We remain of the view despite recent criticism that a multiplier based on a 10% treatment utilization is a reasonable and moderate estimate.
The Difference is ResearchEstimated number of people (15‐54 years) with regular and dependent methamphetamine use, Australia, 2002‐2014
50000 100000 150000 200000 250000 300000 350000 400000 450000 2002-3 2003-4 2004-5 2005-6 2006-7 2007-8 2008-9 2009-… 2010-… 2011-… 2012-… 2013-… Number of regular users
regular users - lower CI regular users regular users - upper CI
50000 100000 150000 200000 250000 300000 350000 400000 450000 2002-3 2003-4 2004-5 2005-6 2006-7 2007-8 2008-9 2009… 2010… 2011… 2012… 2013… Number of dependent users
dependen t users - lower CI dependen t users dependen t users - upper CI
Degenhardt L, et al. Estimating the number of regular and dependent methamphetamine users in Australia, 2002–2014. Medical Journal of Australia. 2016;204(4):153
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The Difference is ResearchEstimated prevalence of methamphetamine dependence by age group in Australia, 2002‐2013
1.00 1.50 2.00 2.50 Dependent users per 100 population 15-24 25-34 35-44 45-54
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Summary of indicator data
availability and harms
consequences among a population of users that is not changing in size;
are developing harms;
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Is use increasing among existing users?
The Difference is Research75 87 85 81 31 181 32 42 3 14 17 11
20 40 60 80 100
% of Participants
Powder
Recent methamphetamine use
6 26 19 48 18 12 6 14 29 74 69 76
20 40 60 80 100
Crystal
EDR S
National 2018 EDRS: 21% IDRS: 20% National 2018: EDRS: 17% IDRS: 75%
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Use among people with established histories of heavy/injecting substance use
Australian since 2000 and includes surveys with people who inject drugs in capital cities
methamphetamine injection
drugs regularly (IDRS)
increasingly used
(one in three)
use in people who inject drugs
10 20 30 40 50 60 70 80 90 100
IDRS % weekly+ methamphetamine injection IDRS% weekly+ crystal injection IDRS % any methamphetamine injection IDRS % any crystal injection
Source: Degenhardt et al., 2017
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across Australia since early 2000s
regular ecstasy users in capital cities each year
methamphetamine or crystal methamphetamine increasing in EDRS samples
Use among existing methamphetamine users?
10 20 30 40 50 60 70 80 90 100
EDRS % weekly+ methamphetamine use EDRS % weekly+ crystal use EDRS % any methamphetamine use EDRS % any crystal use
Source: Degenhardt et al., 2017
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The Difference is ResearchMedian price powder methamphetamine, IDRS NSW
50 50 50 99 250 200 100 200 300 400 500 600 700 800 Median price ($) Point Gram
Gibbs D, Peacock A. New South Wales Drug Trends 2018: Key findings from the Illicit Drug Reporting System (IDRS) Interviews. Sydney: NDARC, UNSW.
The Difference is ResearchPast six month use of any methamphetamine and crystal for IDRS (Left) and EDRS (Right)
Any methamphetamine use within the last 6 months Crystal methamphetamine use within the last 6 months
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Is there any evidence of “new” users?
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Increasing treatment episodes among people smoking methamphetamine
50 100 150 200 250 300 350 400 450 500
Sep-2002 Feb-2003 Jul-2003 Dec-2003 May-2004 Oct-2004 Mar-2005 Aug-2005 Jan-2006 Jun-2006 Nov-2006 Apr-2007 Sep-2007 Feb-2008 Jul-2008 Dec-2008 May-2009 Oct-2009 Mar-2010 Aug-2010 Jan-2011 Jun-2011 Nov-2011 Apr-2012 Sep-2012 Feb-2013
smokes injects total
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Increases in first‐time stimulant admissions, including among 18‐24 year olds
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Summary
established substance use careers (e.g. people who inject drugs)
law enforcement or health for the first time with these problems
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125 100 75 50 25 2000
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The Difference is ResearchAmphetamine‐induced deaths in Australia
sizes may have been randomised to protect confidentiality.
The Difference is Research22
Demographics & circumstances
N=1649
Age Years Potential Life Lost 36.9 yrs 43.9 yrs Male 78% Employed 34% In Rx 8% History IDU 56% Location Metropolitan Rural & regional 59% 41%
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The Difference is ResearchToxicology: Methamphetamine concentrations, 2009‐2015
0.05 0.1 0.15 0.2 0.25 2009 2010 2011 2012 2013 2014 2015 Median concentration mg/L YEAR
The Difference is Research24
Manner of Death
712 367 300 245 25 100 200 300 400 500 600 700 800 Number of cases Manner of death
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Rates of MDMA‐related deaths per 100,000 population, Australia 2001 to 2016
0.00 0.05 0.10 0.15 0.20 0.25 0.30 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Rates per 100,000 population Drug toxicity deaths Other cause deaths Total deaths
Time Period 2 Shortage of safrole Time Period 3 Increased MDMA manufacture, Time Period 1 – prior to shortage of the precursor safrole used to manufacture MDMA Source: Roxburgh et al, in-confidence (unpublished data)
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Estimated methylamphetamine consumption for August 2018 in mass consumed per day (left axis) and doses per day (right axis) per thousand people
Source: National Wastewater Drug Monitoring Program – Report 6, 2018
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■Highest capital city consumption In
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Estimated methylamphetamine consumption per jurisdiction for August 2018 in mg consumption per day per thousand people
Source: National Wastewater Drug Monitoring Program – Report 6, 2018
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Thanks to our participants in the studies mentioned here
Acknowledgements – and thank you
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