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Pharmacokinetic Drug Interactions with Tobacco, Cannabinoids and Smoking Cessation Products

Overview of attention for article published in Clinical Pharmacokinetics, April 2016
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 policy source
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12 X users
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2 Facebook pages

Readers on

mendeley
159 Mendeley
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Title
Pharmacokinetic Drug Interactions with Tobacco, Cannabinoids and Smoking Cessation Products
Published in
Clinical Pharmacokinetics, April 2016
DOI 10.1007/s40262-016-0400-9
Pubmed ID
Authors

Gail D. Anderson, Lingtak-Neander Chan

Abstract

Tobacco smoke contains a large number of compounds in the form of metals, volatile gases and insoluble particles, as well as nicotine, a highly addictive alkaloid. Marijuana is the most widely used illicit drug of abuse in the world, with a significant increase in the USA due to the increasing number of states that allow medical and recreational use. Of the over 70 phytocannabinoids in marijuana, Δ(9)-tetrahydrocannabinol (Δ(9)THC), cannabidiol (CBD) and cannibinol are the three main constituents. Both marijuana and tobacco smoking induce cytochrome P450 (CYP) 1A2 through activation of the aromatic hydrocarbon receptor, and the induction effect between the two products is additive. Smoking cessation is associated with rapid downregulation of CYP1A enzymes. On the basis of the estimated half-life of CYP1A2, dose reduction of CYP1A drugs may be necessary as early as the first few days after smoking cessation to prevent toxicity, especially for drugs with a narrow therapeutic index. Nicotine is a substrate of CYP2A6, which is induced by oestrogen, resulting in lower concentrations of nicotine in females than in males, especially in females taking oral contraceptives. The significant effects of CYP3A4 inducers and inhibitors on the pharmacokinetics of Δ(9)THC/CBD oromucosal spray suggest that CYP3A4 is the primary enzyme responsible for the metabolism of Δ(9)THC and CBD. Limited data also suggest that CBD may significantly inhibit CYP2C19. With the increasing use of marijuana and cannabis products, clinical studies are needed in order to determine the effects of other drugs on pharmacokinetics and pharmacodynamics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 158 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 17%
Student > Ph. D. Student 20 13%
Student > Bachelor 15 9%
Student > Doctoral Student 14 9%
Other 13 8%
Other 27 17%
Unknown 43 27%
Readers by discipline Count As %
Medicine and Dentistry 37 23%
Pharmacology, Toxicology and Pharmaceutical Science 26 16%
Biochemistry, Genetics and Molecular Biology 10 6%
Neuroscience 9 6%
Agricultural and Biological Sciences 8 5%
Other 19 12%
Unknown 50 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 2021.
All research outputs
#3,673,437
of 25,649,244 outputs
Outputs from Clinical Pharmacokinetics
#195
of 1,613 outputs
Outputs of similar age
#55,888
of 313,959 outputs
Outputs of similar age from Clinical Pharmacokinetics
#6
of 18 outputs
Altmetric has tracked 25,649,244 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,613 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 87% 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 313,959 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 81% of its contemporaries.
We're also able to compare this research output to 18 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 66% of its contemporaries.