Quantifying How Cocaine Users Respond to Fentanyl Contamination in Cocaine
量化可卡因使用者对可卡因芬太尼污染的反应
基本信息
- 批准号:10403871
- 负责人:
- 金额:$ 3.32万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAutomobile DrivingAwarenessBehaviorCharacteristicsClinical Trials NetworkCocaineCocaine UsersCommunitiesConsumptionDataData CollectionDevelopmentDrug usageEducationEthicsFentanylFundingGoalsHarm ReductionHelping to End Addiction Long-termIndividualInjecting drug userInterventionKnowledgeLiteratureMeasuresMechanicsModificationMorphineNational Institute of Drug AbuseNot Hispanic or LatinoOpioidOutcomeOverdoseParticipantPerceptionPharmaceutical PreparationsPopulationPriceProbabilityProfessional EducationProtocols documentationPublic HealthReportingResearchSafetySeizuresSurveysTechnologyTestingTimeTrainingWorkaddictionbasebehavioral economicscocaine usedemographicsdigitalexperienceillicit drug useillicit opioidnovelopioid epidemicopioid misuseopioid mortalityopioid overdoseopioid useopioid useroverdose deathoverdose preventionpandemic diseaseparent grantresponsesubstance misusesynthetic opioidwillingness
项目摘要
PROJECT SUMMARY
Fentanyl is a synthetic opioid 50-100 times more potent than morphine that is driving a rise in fatal overdoses
across the US. Although fentanyl has long been an issue in illicit opioids, in recent years the increased
presence of fentanyl in cocaine has drastically increased cocaine-related overdoses. Even though fentanyl
poses a major public health threat to cocaine users, there has been no research quantifying how cocaine users
respond to fentanyl adulteration. My long-term goal is to use harm-reduction approaches (e.g., overdose
education and drug checking technologies) to address fentanyl-related fatal overdoses among people who use
cocaine. The objectives of this proposal are: 1. Use behavioral economics to quantify for the first time how
cocaine users respond to fentanyl contamination, by examining how contamination affects cocaine demand 2.
Examine which individual characteristics may moderate the relationship between fentanyl adulteration and
cocaine demand. Thus, I will develop a novel modification of the Cocaine Purchasing Task, which measures
cocaine demand using predictive, “real world” metrics of purchase amounts and prices. In my “Adulterated
Cocaine Purchasing Task” (ACPT), cocaine users will indicate how much cocaine they would purchase and at
what price under low, medium, high and self-judged “typical” probabilities of fentanyl adulteration. To rapidly
develop this measure, I will survey N = 200 self-identified cocaine users on Amazon Mechanical Turk, using
my novel ACPT and measures of possible moderators including demographics, baseline fentanyl knowledge,
etc. My specific aims are: 1. Determine how fentanyl adulteration affects cocaine demand. My working
hypothesis is greater probability of fentanyl adulteration will lower cocaine demand. 2. Determine which
individual characteristics moderate the relationship between fentanyl adulteration and cocaine
demand. My working hypothesis is greater fentanyl knowledge and more opioid experience will relate to
reduced demand for fentanyl adulterated cocaine. Expected outcomes are: 1. A novel measure quantifying
how fentanyl adulteration in cocaine impacts behavior of cocaine users 2. Identifying individual characteristics
that moderate responses to fentanyl adulteration. 3. Necessary training and preliminary data for an F32 or
F99/K00 that will test a harm reduction intervention to decrease demand for fentanyl adulterated cocaine. This
diversity supplement to the Great Lakes Nodes of the NIDA Clinical Trials Network (UG1-DA049467, funded
under the HEAL Initiative) aligns with Aim 1 (new substance misuse research and intervention protocols), Aim
2 (leveraging digital technologies such as MTurk), Aim 4 (support work on substance and opioid misuse), and
Aim 5 (professional education on opioid misuse) of the parent grant, and will provide training in behavioral
economics, harm reduction approaches, and rapid online data collection to a trainee from an under-
represented background seeking to help marginalized communities affected by addiction.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Niranjan Subhash Karnik其他文献
Niranjan Subhash Karnik的其他文献
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{{ truncateString('Niranjan Subhash Karnik', 18)}}的其他基金
Chicago Data-driven OUD Screening, Engagement, Treatment and Planning (C-DOSETaP) System
芝加哥数据驱动的 OUD 筛查、参与、治疗和规划 (C-DOSETaP) 系统
- 批准号:
10745471 - 财政年份:2023
- 资助金额:
$ 3.32万 - 项目类别:
Better Together: Integrating MOUD in African American Community Settings
更好地在一起:将 MOUD 融入非裔美国人社区环境
- 批准号:
10781200 - 财政年份:2022
- 资助金额:
$ 3.32万 - 项目类别:
Great Lakes Node of the Drug Abuse Clinical Trials Network
药物滥用临床试验网络五大湖节点
- 批准号:
10662573 - 财政年份:2022
- 资助金额:
$ 3.32万 - 项目类别:
Great Lakes Node of the Drug Abuse Clinical Trials Network
药物滥用临床试验网络五大湖节点
- 批准号:
10583828 - 财政年份:2022
- 资助金额:
$ 3.32万 - 项目类别:
HEAL Diversity Supplement: Great Lakes Nodes Clinical Trials Network
HEAL 多样性补充:五大湖节点临床试验网络
- 批准号:
10354615 - 财政年份:2019
- 资助金额:
$ 3.32万 - 项目类别:
Great Lakes Node of the Drug Abuse Clinical Trials Network
药物滥用临床试验网络五大湖节点
- 批准号:
10133036 - 财政年份:2019
- 资助金额:
$ 3.32万 - 项目类别:
Great Lakes Node of the Drug Abuse Clinical Trials Network
药物滥用临床试验网络五大湖节点
- 批准号:
10335544 - 财政年份:2019
- 资助金额:
$ 3.32万 - 项目类别:
Great Lakes Node of the Drug Abuse Clinical Trials Network
药物滥用临床试验网络五大湖节点
- 批准号:
10545971 - 财政年份:2019
- 资助金额:
$ 3.32万 - 项目类别:
Rush University Life Course SBIRT Training Program
拉什大学生活课程 SBIRT 培训计划
- 批准号:
8866099 - 财政年份:2014
- 资助金额:
$ 3.32万 - 项目类别:
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