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Roadside opioid testing of drivers using oral fluid: the case of a country with a zero tolerance law, Spain

Overview of attention for article published in Substance Abuse Treatment, Prevention, and Policy, May 2017
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8 X users

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Title
Roadside opioid testing of drivers using oral fluid: the case of a country with a zero tolerance law, Spain
Published in
Substance Abuse Treatment, Prevention, and Policy, May 2017
DOI 10.1186/s13011-017-0108-3
Pubmed ID
Authors

Inmaculada Fierro, Mónica Colás, Juan Carlos González-Luque, F. Javier Álvarez

Abstract

Opioids can impair psychomotor performance, and driving under the influence of opioids is associated with an increased risk of accidents. The goals of this study were i) to determine the prevalence of opioids (heroin, morphine, codeine, methadone and tramadol) in Spanish drivers and ii) to explore the presence of opioids, more specifically whether they are used alone or in combination with other drugs. The 2008/9 DRUID database regarding Spain was used, which provided information on 3302 drivers. All drivers included in the study provided a saliva sample and mass-chromatographic analyses were carried out in all cases. To determine the prevalence, the sample was weighted according to traffic intensity. In the case of opioid use combinations, the sample was not weighted. The detection limit for each substance was considered a positive result. The prevalence of opioids in Spanish drivers was 1.8% (95% CI, 1.4-2.3). Polydrug detection was common (56.2%): of these, in two out of three cases, two opioids were detected and cocaine was also detected in 86% of the cases. The concentration (median [Q1-Q3] ng/ml) of the substances was low: methadone 1.71 [0.10-15.30], codeine 40.55 [2.10-120.77], 6-acetylmorphine 5.71 [1.53-84.05], and morphine 37.40 [2.84-200.00]. Morphine was always detected with 6-acetylmorphine (heroin use). Driving under the influence of opioids is relatively infrequent, but polydrug use is common. Our study shows that 6 out of 10 drivers with methadone in their OF (likely in methadone maintenance programs) are using other substances. This should be taken into account by health professionals in order to properly inform patients about the added risks of mixing substances when driving.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 10%
Researcher 5 10%
Other 4 8%
Other 5 10%
Unknown 18 35%
Readers by discipline Count As %
Medicine and Dentistry 9 17%
Psychology 5 10%
Chemistry 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 3 6%
Other 6 12%
Unknown 22 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 June 2017.
All research outputs
#6,156,576
of 22,971,207 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#342
of 673 outputs
Outputs of similar age
#97,486
of 310,780 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#9
of 15 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 310,780 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 68% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.