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Differences in polysubstance use patterns and drug‐related outcomes between people who inject drugs receiving and not receiving opioid substitution therapies

Overview of attention for article published in Addiction, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

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13 X users

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Title
Differences in polysubstance use patterns and drug‐related outcomes between people who inject drugs receiving and not receiving opioid substitution therapies
Published in
Addiction, April 2016
DOI 10.1111/add.13339
Pubmed ID
Authors

Kim S Betts, Gary Chan, Fairlie McIlwraith, Paul Dietze, Elizabeth Whittaker, Lucy Burns, Rosa Alati

Abstract

To test if polysubstance use profiles and drug-related outcomes differ between those receiving and not receiving opioid substitution therapies (OST), among people who inject drugs (PWID). An annual cross-sectional, sentinel sample of PWID across Australia SETTING: Data came from three years (2011-2013) of the Illicit Drug Reporting System (IDRS). A total of 2,673 participants who injected drugs from the combined national IDRS samples of 2011 (n = 868), 2012 (n = 922), and 2013 (n = 883) MEASUREMENTS: Latent Class Analysis (LCA) was used to summarise participants' self-reported use of 18 types of substances, with the resulting polysubstance use profiles then associated with participant experience of a number of drug-related outcomes. Polysubstance use profiles exhibiting a broad-range of substance use were generally at increased risk of negative drug-related outcomes whether participants were receiving OST or not: including thrombosis among OST receivers [odds ratio (OR)=2.13, 95% confidence intervals (CI) = 1.09-4.17], injecting with used needle among OST receivers and non-receivers respectively [OR = 2.78, 95% CI = 1.50-5.13; OR = 2.15, 95% CI = 1.34-3.45], and violent criminal offences among OST receivers and non-receivers respectively [OR = 2.30, 95% CI = 1.16-4.58; OR = 1.87, 95% CI = 1.14-3.07]. An important exception was non-fatal overdose which was specifically related to a class of PWID who were not receiving OST and used morphine frequently [OR = 1.83, 95% CI = 1.06-3.17]. Regardless of opioid substitution therapies usage, people who inject drugs (PWID) who use a broad-range of substances experience greater levels of injecting-related injuries and poorer health outcomes and are more likely to engage in criminal activity than other groups of PWID.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 22%
Student > Ph. D. Student 17 19%
Student > Master 11 12%
Student > Doctoral Student 10 11%
Student > Bachelor 8 9%
Other 13 14%
Unknown 12 13%
Readers by discipline Count As %
Medicine and Dentistry 23 25%
Psychology 13 14%
Social Sciences 11 12%
Neuroscience 8 9%
Business, Management and Accounting 3 3%
Other 13 14%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2017.
All research outputs
#5,156,383
of 24,571,708 outputs
Outputs from Addiction
#2,753
of 6,140 outputs
Outputs of similar age
#76,176
of 305,841 outputs
Outputs of similar age from Addiction
#52
of 99 outputs
Altmetric has tracked 24,571,708 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,841 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.