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The impact of comorbid psychiatric disorders on methadone maintenance treatment in opioid use disorder: a prospective cohort study

Overview of attention for article published in Neuropsychiatric Disease and Treatment, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
91 Mendeley
Title
The impact of comorbid psychiatric disorders on methadone maintenance treatment in opioid use disorder: a prospective cohort study
Published in
Neuropsychiatric Disease and Treatment, May 2017
DOI 10.2147/ndt.s129480
Pubmed ID
Authors

Tea Rosic, Leen Naji, Monica Bawor, Brittany Dennis, Carolyn Plater, David Marsh, Lehana Thabane, Zainab Samaan

Abstract

There is a significant interindividual variability in treatment outcomes in methadone maintenance treatment (MMT) for opioid use disorder (OUD). This prospective cohort study examines the impact of comorbid psychiatric disorders on continued illicit opioid use in patients receiving MMT for OUD. Data were collected from 935 patients receiving MMT in outpatient clinics between June 2011 and June 2015. Using linear regression analysis, we evaluated the impact of having a comorbid psychiatric disorder on continued illicit opioid use during MMT, adjusting for important confounders. The main outcome measure was percentage of opioid-positive urine screens for 6 months. We conducted a subgroup analysis to determine the influence of specific comorbid psychiatric disorders, including substance use disorders, on continued illicit opioid use. Approximately 80% of participants had at least one comorbid psychiatric disorder in addition to OUD, and 42% of participants had a comorbid substance use disorder. There was no significant association between having a psychiatric comorbidity and continuing opioid use (P=0.248). Results from subgroup analysis, however, suggest that comorbid tranquilizer (β=20.781, P<0.001) and cocaine (β=6.344, P=0.031) use disorders are associated with increased rates of continuing opioid use. Results from our study may serve to guide future MMT guidelines. Specifically, we find that cocaine or tranquilizer use disorder, comorbid with OUD, places patients at high risk for poor MMT outcomes. Treatment centers may choose to gear more intensive therapy toward such populations.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 23%
Student > Master 18 20%
Researcher 11 12%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 7 8%
Other 14 15%
Unknown 13 14%
Readers by discipline Count As %
Medicine and Dentistry 34 37%
Psychology 16 18%
Nursing and Health Professions 7 8%
Neuroscience 5 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 5 5%
Unknown 21 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 July 2017.
All research outputs
#7,844,869
of 14,537,474 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,024
of 2,487 outputs
Outputs of similar age
#116,851
of 268,526 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#27
of 77 outputs
Altmetric has tracked 14,537,474 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,487 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 268,526 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.