How much of the cocaine market are we missing? Insights from respondent-driven sampling in a mid-sized American city.
Identifieur interne : 000573 ( PubMed/Curation ); précédent : 000572; suivant : 000574How much of the cocaine market are we missing? Insights from respondent-driven sampling in a mid-sized American city.
Auteurs : Jonathan P. Caulkins [États-Unis] ; Jesse Sussell [États-Unis] ; Beau Kilmer [États-Unis] ; Anna Kasunic [États-Unis]Source :
- Drug and alcohol dependence [ 1879-0046 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- rééducation et réadaptation : Troubles liés à la cocaïne.
- épidémiologie : Troubles liés à la cocaïne, Virginie.
- Adulte, Cocaïne, Crack, Crime, Drogues des rues, Enquêtes et questionnaires, Facteurs socioéconomiques, Femelle, Humains, Mâle, Prévalence, Usagers de drogues.
English descriptors
- KwdEn :
- MESH :
- chemical : Cocaine, Crack Cocaine, Street Drugs.
- geographic , epidemiology : Virginia.
- epidemiology : Cocaine-Related Disorders.
- rehabilitation : Cocaine-Related Disorders.
- statistics & numerical data : Crime.
- Adult, Drug Users, Female, Humans, Male, Prevalence, Socioeconomic Factors, Surveys and Questionnaires.
Abstract
Studying markets for illegal drugs is important, but difficult. Data usually come from a selected subset of consumers, such as arrestees, treatment clients, or household survey respondents. There are rarely opportunities to study how such groups may differ from other market participants or how much of total consumption they represent.
DOI: 10.1016/j.drugalcdep.2014.11.032
PubMed: 25533895
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000573
Links to Exploration step
pubmed:25533895Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">How much of the cocaine market are we missing? Insights from respondent-driven sampling in a mid-sized American city.</title><author><name sortKey="Caulkins, Jonathan P" sort="Caulkins, Jonathan P" uniqKey="Caulkins J" first="Jonathan P" last="Caulkins">Jonathan P. Caulkins</name><affiliation wicri:level="1"><nlm:affiliation>Carnegie Mellon University's Heinz College, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States. Electronic address: caulkins@andrew.cmu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Carnegie Mellon University's Heinz College, 5000 Forbes Avenue, Pittsburgh, PA 15213</wicri:regionArea></affiliation></author><author><name sortKey="Sussell, Jesse" sort="Sussell, Jesse" uniqKey="Sussell J" first="Jesse" last="Sussell">Jesse Sussell</name><affiliation wicri:level="1"><nlm:affiliation>Social Policy Research Associates, 1333 Broadway, Oakland, CA 94612, United States. Electronic address: jesse_sussell@spra.com.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Social Policy Research Associates, 1333 Broadway, Oakland, CA 94612</wicri:regionArea></affiliation></author><author><name sortKey="Kilmer, Beau" sort="Kilmer, Beau" uniqKey="Kilmer B" first="Beau" last="Kilmer">Beau Kilmer</name><affiliation wicri:level="1"><nlm:affiliation>RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States. Electronic address: kilmer@rand.org.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>RAND Corporation, 1776 Main Street, Santa Monica, CA 90401</wicri:regionArea></affiliation></author><author><name sortKey="Kasunic, Anna" sort="Kasunic, Anna" uniqKey="Kasunic A" first="Anna" last="Kasunic">Anna Kasunic</name><affiliation wicri:level="1"><nlm:affiliation>Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States. Electronic address: amkasunic@gmail.com.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25533895</idno><idno type="pmid">25533895</idno><idno type="doi">10.1016/j.drugalcdep.2014.11.032</idno><idno type="wicri:Area/PubMed/Corpus">000573</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000573</idno><idno type="wicri:Area/PubMed/Curation">000573</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000573</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">How much of the cocaine market are we missing? Insights from respondent-driven sampling in a mid-sized American city.</title><author><name sortKey="Caulkins, Jonathan P" sort="Caulkins, Jonathan P" uniqKey="Caulkins J" first="Jonathan P" last="Caulkins">Jonathan P. Caulkins</name><affiliation wicri:level="1"><nlm:affiliation>Carnegie Mellon University's Heinz College, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States. Electronic address: caulkins@andrew.cmu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Carnegie Mellon University's Heinz College, 5000 Forbes Avenue, Pittsburgh, PA 15213</wicri:regionArea></affiliation></author><author><name sortKey="Sussell, Jesse" sort="Sussell, Jesse" uniqKey="Sussell J" first="Jesse" last="Sussell">Jesse Sussell</name><affiliation wicri:level="1"><nlm:affiliation>Social Policy Research Associates, 1333 Broadway, Oakland, CA 94612, United States. Electronic address: jesse_sussell@spra.com.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Social Policy Research Associates, 1333 Broadway, Oakland, CA 94612</wicri:regionArea></affiliation></author><author><name sortKey="Kilmer, Beau" sort="Kilmer, Beau" uniqKey="Kilmer B" first="Beau" last="Kilmer">Beau Kilmer</name><affiliation wicri:level="1"><nlm:affiliation>RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States. Electronic address: kilmer@rand.org.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>RAND Corporation, 1776 Main Street, Santa Monica, CA 90401</wicri:regionArea></affiliation></author><author><name sortKey="Kasunic, Anna" sort="Kasunic, Anna" uniqKey="Kasunic A" first="Anna" last="Kasunic">Anna Kasunic</name><affiliation wicri:level="1"><nlm:affiliation>Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States. Electronic address: amkasunic@gmail.com.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213</wicri:regionArea></affiliation></author></analytic><series><title level="j">Drug and alcohol dependence</title><idno type="eISSN">1879-0046</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Cocaine</term><term>Cocaine-Related Disorders (epidemiology)</term><term>Cocaine-Related Disorders (rehabilitation)</term><term>Crack Cocaine</term><term>Crime (statistics & numerical data)</term><term>Drug Users</term><term>Female</term><term>Humans</term><term>Male</term><term>Prevalence</term><term>Socioeconomic Factors</term><term>Street Drugs</term><term>Surveys and Questionnaires</term><term>Virginia (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term><term>Cocaïne</term><term>Crack</term><term>Crime ()</term><term>Drogues des rues</term><term>Enquêtes et questionnaires</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Prévalence</term><term>Troubles liés à la cocaïne (rééducation et réadaptation)</term><term>Troubles liés à la cocaïne (épidémiologie)</term><term>Usagers de drogues</term><term>Virginie (épidémiologie)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Cocaine</term><term>Crack Cocaine</term><term>Street Drugs</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Virginia</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Cocaine-Related Disorders</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Cocaine-Related Disorders</term></keywords><keywords scheme="MESH" qualifier="rééducation et réadaptation" xml:lang="fr"><term>Troubles liés à la cocaïne</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Crime</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Troubles liés à la cocaïne</term><term>Virginie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Drug Users</term><term>Female</term><term>Humans</term><term>Male</term><term>Prevalence</term><term>Socioeconomic Factors</term><term>Surveys and Questionnaires</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Cocaïne</term><term>Crack</term><term>Crime</term><term>Drogues des rues</term><term>Enquêtes et questionnaires</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Prévalence</term><term>Usagers de drogues</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Studying markets for illegal drugs is important, but difficult. Data usually come from a selected subset of consumers, such as arrestees, treatment clients, or household survey respondents. There are rarely opportunities to study how such groups may differ from other market participants or how much of total consumption they represent.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25533895</PMID><DateCreated><Year>2015</Year><Month>01</Month><Day>17</Day></DateCreated><DateCompleted><Year>2015</Year><Month>12</Month><Day>14</Day></DateCompleted><DateRevised><Year>2015</Year><Month>01</Month><Day>17</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-0046</ISSN><JournalIssue CitedMedium="Internet"><Volume>147</Volume><PubDate><Year>2015</Year><Month>Feb</Month><Day>01</Day></PubDate></JournalIssue><Title>Drug and alcohol dependence</Title><ISOAbbreviation>Drug Alcohol Depend</ISOAbbreviation></Journal><ArticleTitle>How much of the cocaine market are we missing? Insights from respondent-driven sampling in a mid-sized American city.</ArticleTitle><Pagination><MedlinePgn>190-5</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.drugalcdep.2014.11.032</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0376-8716(14)01977-2</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Studying markets for illegal drugs is important, but difficult. Data usually come from a selected subset of consumers, such as arrestees, treatment clients, or household survey respondents. There are rarely opportunities to study how such groups may differ from other market participants or how much of total consumption they represent.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">This paper uses respondent-driven sampling (RDS) of drug users in a mid-sized American city to estimate the shares of cocaine (powder and crack) users and expenditures that are attributable to different combinations of these groups.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">We find that those arrested in the last year accounted for 34% of past-month cocaine users and 40% of past-week cocaine spending in the RDS sample. Augmenting past-year arrestees with those who received treatment in the past year increases these values to 44% (users) and 55% (spending).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Our results suggest that estimates based only on people who were arrested and/or treated in the past year would have to be inflated by 100-200% to capture the market totals. Adding those who own or rent their place of residence increased coverage in this study to 76% (users) and 81% (spending), suggesting that in theory the inflation factor could be reduced to 23-32% by supplementing data on arrestees and treatment populations with household data, although in practice rates of under-reporting by survey respondents may make coverage (sampling frame) a secondary concern for household surveys.</AbstractText><CopyrightInformation>Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Caulkins</LastName><ForeName>Jonathan P</ForeName><Initials>JP</Initials><AffiliationInfo><Affiliation>Carnegie Mellon University's Heinz College, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States. Electronic address: caulkins@andrew.cmu.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sussell</LastName><ForeName>Jesse</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Social Policy Research Associates, 1333 Broadway, Oakland, CA 94612, United States. Electronic address: jesse_sussell@spra.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kilmer</LastName><ForeName>Beau</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States. Electronic address: kilmer@rand.org.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kasunic</LastName><ForeName>Anna</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States. Electronic address: amkasunic@gmail.com.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>12</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>Ireland</Country><MedlineTA>Drug Alcohol Depend</MedlineTA><NlmUniqueID>7513587</NlmUniqueID><ISSNLinking>0376-8716</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D016578">Crack Cocaine</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D013287">Street Drugs</NameOfSubstance></Chemical><Chemical><RegistryNumber>I5Y540LHVR</RegistryNumber><NameOfSubstance UI="D003042">Cocaine</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003042" MajorTopicYN="N">Cocaine</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019970" MajorTopicYN="N">Cocaine-Related Disorders</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000534" MajorTopicYN="N">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016578" MajorTopicYN="N">Crack Cocaine</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003415" MajorTopicYN="N">Crime</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055030" MajorTopicYN="N">Drug Users</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013287" MajorTopicYN="N">Street Drugs</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014768" MajorTopicYN="N" Type="Geographic">Virginia</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cocaine</Keyword><Keyword MajorTopicYN="N">Drug markets</Keyword><Keyword MajorTopicYN="N">Drug policy</Keyword><Keyword MajorTopicYN="N">Drug spending</Keyword><Keyword MajorTopicYN="N">Hidden populations</Keyword><Keyword MajorTopicYN="N">Respondent-driven sampling</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>08</Month><Day>01</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>11</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>11</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>12</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>12</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>12</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25533895</ArticleId><ArticleId IdType="pii">S0376-8716(14)01977-2</ArticleId><ArticleId IdType="doi">10.1016/j.drugalcdep.2014.11.032</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Amérique/explor/PittsburghV1/Data/PubMed/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000573 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 000573 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Amérique
|area= PittsburghV1
|flux= PubMed
|étape= Curation
|type= RBID
|clé= pubmed:25533895
|texte= How much of the cocaine market are we missing? Insights from respondent-driven sampling in a mid-sized American city.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:25533895" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \
| NlmPubMed2Wicri -a PittsburghV1
| This area was generated with Dilib version V0.6.38. |  |