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Drug Interactions with Tobacco Smoking

Overview of attention for article published in Clinical Pharmacokinetics, September 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 1,614)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
policy
5 policy sources
twitter
7 X users
patent
5 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
567 Dimensions

Readers on

mendeley
227 Mendeley
Title
Drug Interactions with Tobacco Smoking
Published in
Clinical Pharmacokinetics, September 2012
DOI 10.2165/00003088-199936060-00004
Pubmed ID
Authors

Shoshana Zevin, Neal L. Benowitz

Abstract

Cigarette smoking remains highly prevalent in most countries. It can affect drug therapy by both pharmacokinetic and pharmacodynamic mechanisms. Enzymes induced by tobacco smoking may also increase the risk of cancer by enhancing the metabolic activation of carcinogens. Polycyclic aromatic hydrocarbons in tobacco smoke are believed to be responsible for the induction of cytochrome P450 (CYP) 1A1, CYP1A2 and possibly CYP2E1, CYP1A1 is primarily an extrahepatic enzyme found in lung and placenta. There are genetic polymorphisms in the inducibility of CYP1A1, with some evidence that high inducibility is more common in patients with lung cancer. CYP1A2 is a hepatic enzyme responsible for the metabolism of a number of drugs and activation of some procarcinogens. Caffeine demethylation, using blood clearance or urine metabolite data, has been used as an in vivo marker of CYP1A2 activity, clearly demonstrating an effect of cigarette smoking, CYP2E1 metabolises a number of drugs as well as activating some carcinogens. Our laboratory has found in an intraindividual study that cigarette smoking significantly enhances CYP2E1 activity as measured by the clearance of chlorzoxazone. In animal studies, nicotine induces the activity of several enzymes, including CYP2E1, CYP2A1/2A2 and CYP2B1/2B2, in the brain, but whether this effect is clinically significant is unknown. Similarly, although inhibitory effects of the smoke constituents carbon monoxide and cadmium on CYP enzymes have been observed in vitro and in animal studies, the relevance of this inhibition to humans has not yet been established. The mechanism involved in most interactions between cigarette smoking and drugs involves the induction of metabolism. Drugs for which induced metabolism because of cigarette smoking may have clinical consequence include theophylline, caffeine, tacrine, imipramine, haloperidol, pentazocine, propranolol, flecainide and estradiol. Cigarette smoking results in faster clearance of heparin, possibly related to smoking-related activation of thrombosis with enhanced heparin binding to antithrombin III. Cutaneous vasoconstriction by nicotine may slow the rate of insulin absorption after subcutaneous administration. Pharmacodynamic interactions have also been described. Cigarette smoking is associated with a lesser magnitude of blood pressure and heart rate lowering during treatment with beta-blockers, less sedation from benzodiazepines and less analgesia from some opioids, most likely reflecting the effects of the stimulant actions of nicotine. The impact of cigarette smoking needs to be considered in planning and assessing responses to drug therapy. Cigarette smoking should be specifically studied in clinical trials of new drugs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Australia 1 <1%
Unknown 225 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 37 16%
Student > Master 33 15%
Researcher 32 14%
Student > Doctoral Student 21 9%
Student > Ph. D. Student 18 8%
Other 49 22%
Unknown 37 16%
Readers by discipline Count As %
Medicine and Dentistry 70 31%
Pharmacology, Toxicology and Pharmaceutical Science 34 15%
Agricultural and Biological Sciences 15 7%
Biochemistry, Genetics and Molecular Biology 13 6%
Chemistry 10 4%
Other 38 17%
Unknown 47 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 31 January 2022.
All research outputs
#867,385
of 25,711,998 outputs
Outputs from Clinical Pharmacokinetics
#18
of 1,614 outputs
Outputs of similar age
#4,650
of 187,829 outputs
Outputs of similar age from Clinical Pharmacokinetics
#6
of 452 outputs
Altmetric has tracked 25,711,998 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,614 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 particularly well, scoring higher than 98% 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 187,829 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 452 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.