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Opioid analgesic drugs and serotonin toxicity (syndrome): mechanisms, animal models, and links to clinical effects

Overview of attention for article published in Archives of Toxicology, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 news outlet
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Citations

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79 Dimensions

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mendeley
120 Mendeley
Title
Opioid analgesic drugs and serotonin toxicity (syndrome): mechanisms, animal models, and links to clinical effects
Published in
Archives of Toxicology, June 2018
DOI 10.1007/s00204-018-2244-6
Pubmed ID
Authors

Brian A. Baldo

Abstract

Drugs may cause serotonin toxicity by a number of different mechanisms including inhibition of serotonin uptake and metabolism, increased serotonin synthesis and release, activation of serotonin receptors, and inhibition of cytochrome P450 oxidases. Some drug interactions involving opioids can increase intrasynaptic levels of serotonin, and opioid analgesic drugs are now recognized as being involved in some cases of serotonin toxicity especially if administered in conjunction with other serotonergic medications including monoamine oxidase inhibitors, selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, and tricyclic antidepressants. In March 2016, the FDA issued a Drug Safety Communication concerning the association of the entire class of opioid pain medicines with serotonin toxicity. Reports of the involvement of individual opioids particularly tramadol, tapentadol, meperidine, methadone, oxycodone, fentanyl, and dextromethorphan are reviewed. While relevance to human serotonin toxicity of animal models, including many studies on rat brain synaptosomes, is questionable, important insights have recently been forthcoming from research utilizing 5-HT receptors, serotonin transporter (SERT), and knockout mice. In studies with human SERT-transfected human HEK293 cells, the synthetic opioids tramadol, meperidine, methadone, tapentadol, and dextromethorphan inhibited SERT, but fentanyl and a number of phenanthrenes including morphine and hydromorphone did not. Receptor ligand-binding assays revealed interaction of fentanyl with 5-HT1A receptors and interaction of meperidine, methadone, and fentanyl with 5-HT2A receptors. Although the opioids most often associated with serotonin toxicity in humans inhibit human SERT in vitro, fentanyl and oxycodone are not inhibitory even though their clinical involvement has been reported. This suggests some SERT-independent effects on the serotonin system in vivo. Heightened clinician awareness of the possibility of serotonin toxicity among patients taking opioids and serotonergic antidepressants is called for.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 17%
Student > Master 14 12%
Other 12 10%
Researcher 10 8%
Student > Postgraduate 7 6%
Other 16 13%
Unknown 41 34%
Readers by discipline Count As %
Medicine and Dentistry 32 27%
Pharmacology, Toxicology and Pharmaceutical Science 15 13%
Biochemistry, Genetics and Molecular Biology 7 6%
Nursing and Health Professions 4 3%
Neuroscience 3 3%
Other 16 13%
Unknown 43 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 September 2022.
All research outputs
#2,980,374
of 26,411,386 outputs
Outputs from Archives of Toxicology
#208
of 2,488 outputs
Outputs of similar age
#56,392
of 345,144 outputs
Outputs of similar age from Archives of Toxicology
#4
of 37 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,488 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 91% 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 345,144 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 83% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.