Nicotine delivery to users from cigarettes and from different types of e-cigarettes
Background Delivering nicotine in the way smokers seek is likely to be the key factor in e-cigarette (EC) success in replacing cigarettes. We examined to what degree different types of EC mimic nicotine intake from cigarettes. Methods Twelve participants (‘dual users’ of EC and cigarettes) used thei...
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description | Background
Delivering nicotine in the way smokers seek is likely to be the key factor in e-cigarette (EC) success in replacing cigarettes. We examined to what degree different types of EC mimic nicotine intake from cigarettes.
Methods
Twelve participants (‘dual users’ of EC and cigarettes) used their own brand cigarette and nine different EC brands. Blood samples were taken at baseline and at 2-min intervals for 10 min and again at 30 min.
Results
Eleven smokers provided usable data. None of the EC matched cigarettes in nicotine delivery (
C
max
= 17.9 ng/ml,
T
max
= 4 min and AUC
0–>30
= 315 ng/ml/min). The EC with 48 mg/ml nicotine generated the closest PK profile (
C
max
= 13.6 ng/ml,
T
max
= 4 min, AUC
0–>30
= 245 ng/ml/min), followed by a third generation EC using 20 mg/ml nicotine (
C
max
= 11.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 232 ng/ml/min), followed by the tank system using 20 mg/ml nicotine (
C
max
= 9.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 201 ng/ml/min). Cig-a-like PK values were similar, ranging from
C
max
7.5 to 9.7 ng/ml,
T
max
4-6 min, and AUC
0–>30
144 to 173 ng/ml/min. Moderate differences in e-liquid nicotine concentrations had little effect on nicotine delivery, e.g. the EC with 24 mg/ml cartridge had the same PK profile as ECs with 16 mg/ml cartridges. Using similar strength e-liquid, the tank EC provided significantly more nicotine than cig-a-like ECs.
Conclusions
EC brands we tested do not deliver nicotine as efficiently as cigarettes, but newer EC products deliver nicotine more efficiently than cig-a-like brands. Moderate variations in nicotine content of e-liquid have little effect on nicotine delivery. Smokers who are finding cig-a-like EC unsatisfactory should be advised to try more advanced systems. |
doi_str_mv | 10.1007/s00213-016-4512-6 |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5306435</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A551029337</galeid><sourcerecordid>A551029337</sourcerecordid><originalsourceid>FETCH-LOGICAL-c570t-f413979acea9e5dc66311660a4c135a6c7489e53da8df1f85e480add64cd41bd3</originalsourceid><addsrcrecordid>eNqFksuKFTEQhoMoznH0AdxIgxs3PVbu3RthGLzBoAt1HTJJ5Zihu3NMugfO208OPc5FFJNFoOqrn0rVT8hLCicUQL8tAIzyFqhqhaSsVY_IhgrOWgaaPSYbAM5bTmV3RJ6Vcgn1iE48JUesAw2KwYZ8-xJdmuOEjcchXmHeN3NqloK5NCGnsXFxazPOM5bGTn6N-RgCZpzmZt7vaiKFBts78Dl5EuxQ8MXNe0x-fHj__exTe_714-ez0_PWSQ1zGwTlve6tQ9uj9E4pTqlSYIWjXFrltOhqgnvb-UBDJ1F0YL1XwnlBLzw_Ju9W3d1yMaJ3taFsB7PLcbR5b5KN5mFmij_NNl0ZyUEJLqvAmxuBnH4tWGYzxuJwGOyEaSmGdlp3Elgd8v9RqbmuS9EVff0HepmWPNVJVErpnvVCyTtqawc0cQqptugOouZUSgqs5_ygdfIXql6PY13chCHW-IMCuha4nErJGG7HQcEcTGNW05hqGnMwjVG15tX9Od5W_HZJBdgKlJqatpjv_eifqtfdJMtV</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1867929465</pqid></control><display><type>article</type><title>Nicotine delivery to users from cigarettes and from different types of e-cigarettes</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Hajek, Peter ; Przulj, Dunja ; Phillips, Anna ; Anderson, Rebecca ; McRobbie, Hayden</creator><creatorcontrib>Hajek, Peter ; Przulj, Dunja ; Phillips, Anna ; Anderson, Rebecca ; McRobbie, Hayden</creatorcontrib><description>Background
Delivering nicotine in the way smokers seek is likely to be the key factor in e-cigarette (EC) success in replacing cigarettes. We examined to what degree different types of EC mimic nicotine intake from cigarettes.
Methods
Twelve participants (‘dual users’ of EC and cigarettes) used their own brand cigarette and nine different EC brands. Blood samples were taken at baseline and at 2-min intervals for 10 min and again at 30 min.
Results
Eleven smokers provided usable data. None of the EC matched cigarettes in nicotine delivery (
C
max
= 17.9 ng/ml,
T
max
= 4 min and AUC
0–>30
= 315 ng/ml/min). The EC with 48 mg/ml nicotine generated the closest PK profile (
C
max
= 13.6 ng/ml,
T
max
= 4 min, AUC
0–>30
= 245 ng/ml/min), followed by a third generation EC using 20 mg/ml nicotine (
C
max
= 11.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 232 ng/ml/min), followed by the tank system using 20 mg/ml nicotine (
C
max
= 9.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 201 ng/ml/min). Cig-a-like PK values were similar, ranging from
C
max
7.5 to 9.7 ng/ml,
T
max
4-6 min, and AUC
0–>30
144 to 173 ng/ml/min. Moderate differences in e-liquid nicotine concentrations had little effect on nicotine delivery, e.g. the EC with 24 mg/ml cartridge had the same PK profile as ECs with 16 mg/ml cartridges. Using similar strength e-liquid, the tank EC provided significantly more nicotine than cig-a-like ECs.
Conclusions
EC brands we tested do not deliver nicotine as efficiently as cigarettes, but newer EC products deliver nicotine more efficiently than cig-a-like brands. Moderate variations in nicotine content of e-liquid have little effect on nicotine delivery. Smokers who are finding cig-a-like EC unsatisfactory should be advised to try more advanced systems.</description><identifier>ISSN: 0033-3158</identifier><identifier>EISSN: 1432-2072</identifier><identifier>DOI: 10.1007/s00213-016-4512-6</identifier><identifier>PMID: 28070620</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Area Under Curve ; Biomedical and Life Sciences ; Biomedicine ; Cross-Over Studies ; Electronic cigarettes ; Electronic Nicotine Delivery Systems ; Evaluation ; Female ; Humans ; Male ; Middle Aged ; Neurosciences ; Nicotine ; Nicotine - administration & dosage ; Nicotine - blood ; Nicotinic Agonists - administration & dosage ; Nicotinic Agonists - blood ; Original Investigation ; Pharmacology ; Pharmacology/Toxicology ; Physiological aspects ; Psychiatry ; Smoking ; Smoking - blood ; Tobacco Products ; Vaping ; Young Adult</subject><ispartof>Psychopharmacology, 2017-03, Vol.234 (5), p.773-779</ispartof><rights>The Author(s) 2017</rights><rights>COPYRIGHT 2017 Springer</rights><rights>Psychopharmacology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c570t-f413979acea9e5dc66311660a4c135a6c7489e53da8df1f85e480add64cd41bd3</citedby><cites>FETCH-LOGICAL-c570t-f413979acea9e5dc66311660a4c135a6c7489e53da8df1f85e480add64cd41bd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00213-016-4512-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00213-016-4512-6$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28070620$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hajek, Peter</creatorcontrib><creatorcontrib>Przulj, Dunja</creatorcontrib><creatorcontrib>Phillips, Anna</creatorcontrib><creatorcontrib>Anderson, Rebecca</creatorcontrib><creatorcontrib>McRobbie, Hayden</creatorcontrib><title>Nicotine delivery to users from cigarettes and from different types of e-cigarettes</title><title>Psychopharmacology</title><addtitle>Psychopharmacology</addtitle><addtitle>Psychopharmacology (Berl)</addtitle><description>Background
Delivering nicotine in the way smokers seek is likely to be the key factor in e-cigarette (EC) success in replacing cigarettes. We examined to what degree different types of EC mimic nicotine intake from cigarettes.
Methods
Twelve participants (‘dual users’ of EC and cigarettes) used their own brand cigarette and nine different EC brands. Blood samples were taken at baseline and at 2-min intervals for 10 min and again at 30 min.
Results
Eleven smokers provided usable data. None of the EC matched cigarettes in nicotine delivery (
C
max
= 17.9 ng/ml,
T
max
= 4 min and AUC
0–>30
= 315 ng/ml/min). The EC with 48 mg/ml nicotine generated the closest PK profile (
C
max
= 13.6 ng/ml,
T
max
= 4 min, AUC
0–>30
= 245 ng/ml/min), followed by a third generation EC using 20 mg/ml nicotine (
C
max
= 11.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 232 ng/ml/min), followed by the tank system using 20 mg/ml nicotine (
C
max
= 9.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 201 ng/ml/min). Cig-a-like PK values were similar, ranging from
C
max
7.5 to 9.7 ng/ml,
T
max
4-6 min, and AUC
0–>30
144 to 173 ng/ml/min. Moderate differences in e-liquid nicotine concentrations had little effect on nicotine delivery, e.g. the EC with 24 mg/ml cartridge had the same PK profile as ECs with 16 mg/ml cartridges. Using similar strength e-liquid, the tank EC provided significantly more nicotine than cig-a-like ECs.
Conclusions
EC brands we tested do not deliver nicotine as efficiently as cigarettes, but newer EC products deliver nicotine more efficiently than cig-a-like brands. Moderate variations in nicotine content of e-liquid have little effect on nicotine delivery. Smokers who are finding cig-a-like EC unsatisfactory should be advised to try more advanced systems.</description><subject>Adult</subject><subject>Area Under Curve</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cross-Over Studies</subject><subject>Electronic cigarettes</subject><subject>Electronic Nicotine Delivery Systems</subject><subject>Evaluation</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neurosciences</subject><subject>Nicotine</subject><subject>Nicotine - administration & dosage</subject><subject>Nicotine - blood</subject><subject>Nicotinic Agonists - administration & dosage</subject><subject>Nicotinic Agonists - blood</subject><subject>Original Investigation</subject><subject>Pharmacology</subject><subject>Pharmacology/Toxicology</subject><subject>Physiological aspects</subject><subject>Psychiatry</subject><subject>Smoking</subject><subject>Smoking - blood</subject><subject>Tobacco Products</subject><subject>Vaping</subject><subject>Young Adult</subject><issn>0033-3158</issn><issn>1432-2072</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFksuKFTEQhoMoznH0AdxIgxs3PVbu3RthGLzBoAt1HTJJ5Zihu3NMugfO208OPc5FFJNFoOqrn0rVT8hLCicUQL8tAIzyFqhqhaSsVY_IhgrOWgaaPSYbAM5bTmV3RJ6Vcgn1iE48JUesAw2KwYZ8-xJdmuOEjcchXmHeN3NqloK5NCGnsXFxazPOM5bGTn6N-RgCZpzmZt7vaiKFBts78Dl5EuxQ8MXNe0x-fHj__exTe_714-ez0_PWSQ1zGwTlve6tQ9uj9E4pTqlSYIWjXFrltOhqgnvb-UBDJ1F0YL1XwnlBLzw_Ju9W3d1yMaJ3taFsB7PLcbR5b5KN5mFmij_NNl0ZyUEJLqvAmxuBnH4tWGYzxuJwGOyEaSmGdlp3Elgd8v9RqbmuS9EVff0HepmWPNVJVErpnvVCyTtqawc0cQqptugOouZUSgqs5_ygdfIXql6PY13chCHW-IMCuha4nErJGG7HQcEcTGNW05hqGnMwjVG15tX9Od5W_HZJBdgKlJqatpjv_eifqtfdJMtV</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Hajek, Peter</creator><creator>Przulj, Dunja</creator><creator>Phillips, Anna</creator><creator>Anderson, Rebecca</creator><creator>McRobbie, Hayden</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QR</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170301</creationdate><title>Nicotine delivery to users from cigarettes and from different types of e-cigarettes</title><author>Hajek, Peter ; Przulj, Dunja ; Phillips, Anna ; Anderson, Rebecca ; McRobbie, Hayden</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c570t-f413979acea9e5dc66311660a4c135a6c7489e53da8df1f85e480add64cd41bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Area Under Curve</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cross-Over Studies</topic><topic>Electronic cigarettes</topic><topic>Electronic Nicotine Delivery Systems</topic><topic>Evaluation</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neurosciences</topic><topic>Nicotine</topic><topic>Nicotine - administration & dosage</topic><topic>Nicotine - blood</topic><topic>Nicotinic Agonists - administration & dosage</topic><topic>Nicotinic Agonists - blood</topic><topic>Original Investigation</topic><topic>Pharmacology</topic><topic>Pharmacology/Toxicology</topic><topic>Physiological aspects</topic><topic>Psychiatry</topic><topic>Smoking</topic><topic>Smoking - blood</topic><topic>Tobacco Products</topic><topic>Vaping</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hajek, Peter</creatorcontrib><creatorcontrib>Przulj, Dunja</creatorcontrib><creatorcontrib>Phillips, Anna</creatorcontrib><creatorcontrib>Anderson, Rebecca</creatorcontrib><creatorcontrib>McRobbie, Hayden</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Psychopharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hajek, Peter</au><au>Przulj, Dunja</au><au>Phillips, Anna</au><au>Anderson, Rebecca</au><au>McRobbie, Hayden</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nicotine delivery to users from cigarettes and from different types of e-cigarettes</atitle><jtitle>Psychopharmacology</jtitle><stitle>Psychopharmacology</stitle><addtitle>Psychopharmacology (Berl)</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>234</volume><issue>5</issue><spage>773</spage><epage>779</epage><pages>773-779</pages><issn>0033-3158</issn><eissn>1432-2072</eissn><abstract>Background
Delivering nicotine in the way smokers seek is likely to be the key factor in e-cigarette (EC) success in replacing cigarettes. We examined to what degree different types of EC mimic nicotine intake from cigarettes.
Methods
Twelve participants (‘dual users’ of EC and cigarettes) used their own brand cigarette and nine different EC brands. Blood samples were taken at baseline and at 2-min intervals for 10 min and again at 30 min.
Results
Eleven smokers provided usable data. None of the EC matched cigarettes in nicotine delivery (
C
max
= 17.9 ng/ml,
T
max
= 4 min and AUC
0–>30
= 315 ng/ml/min). The EC with 48 mg/ml nicotine generated the closest PK profile (
C
max
= 13.6 ng/ml,
T
max
= 4 min, AUC
0–>30
= 245 ng/ml/min), followed by a third generation EC using 20 mg/ml nicotine (
C
max
= 11.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 232 ng/ml/min), followed by the tank system using 20 mg/ml nicotine (
C
max
= 9.9 ng/ml,
T
max
= 6 min, AUC
0–>30
= 201 ng/ml/min). Cig-a-like PK values were similar, ranging from
C
max
7.5 to 9.7 ng/ml,
T
max
4-6 min, and AUC
0–>30
144 to 173 ng/ml/min. Moderate differences in e-liquid nicotine concentrations had little effect on nicotine delivery, e.g. the EC with 24 mg/ml cartridge had the same PK profile as ECs with 16 mg/ml cartridges. Using similar strength e-liquid, the tank EC provided significantly more nicotine than cig-a-like ECs.
Conclusions
EC brands we tested do not deliver nicotine as efficiently as cigarettes, but newer EC products deliver nicotine more efficiently than cig-a-like brands. Moderate variations in nicotine content of e-liquid have little effect on nicotine delivery. Smokers who are finding cig-a-like EC unsatisfactory should be advised to try more advanced systems.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28070620</pmid><doi>10.1007/s00213-016-4512-6</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; SpringerLink Journals |
subjects | Adult Area Under Curve Biomedical and Life Sciences Biomedicine Cross-Over Studies Electronic cigarettes Electronic Nicotine Delivery Systems Evaluation Female Humans Male Middle Aged Neurosciences Nicotine Nicotine - administration & dosage Nicotine - blood Nicotinic Agonists - administration & dosage Nicotinic Agonists - blood Original Investigation Pharmacology Pharmacology/Toxicology Physiological aspects Psychiatry Smoking Smoking - blood Tobacco Products Vaping Young Adult |
title | Nicotine delivery to users from cigarettes and from different types of e-cigarettes |
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