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

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.
项目摘要 芬太尼是一种合成阿片类药物,其效力是吗啡的50-100倍,导致致命过量的增加 在美国各地。虽然芬太尼长期以来一直是非法阿片类药物的一个问题,但近年来, 可卡因中芬太尼的存在大大增加了可卡因相关的过量。尽管芬太尼 对可卡因使用者构成重大公共健康威胁,但没有研究量化可卡因使用者如何使用可卡因。 对芬太尼掺假的反应我的长期目标是使用减少伤害的方法(例如,过量 教育和药物检查技术),以解决使用芬太尼的人中与芬太尼有关的致命过量问题 可卡因本提案的目标是:1.使用行为经济学首次量化 可卡因使用者对芬太尼污染的反应,通过研究污染如何影响可卡因需求2。 检查哪些个体特征可能会缓和芬太尼掺假与 可卡因需求因此,我将开发一个新的修改后的coconut购买任务,其中措施, 使用预测性的、“真实的世界”的购买量和价格度量来评估可卡因需求。在我的“掺假 在“可卡因购买任务”(ACPT)中,可卡因使用者将表明他们将购买多少可卡因, 芬太尼掺假的低、中、高和自我判断的“典型”概率下的价格。快速 为了开发这个方法,我将在亚马逊土耳其机器人上调查N = 200名自我识别的可卡因用户,使用 我的小说ACPT和可能的主持人的措施,包括人口统计学,基线芬太尼知识, 等我的具体目标是:1。确定芬太尼掺假如何影响可卡因需求。我的工作 假设芬太尼掺假的可能性更大,将降低可卡因的需求。2.确定哪些 个体特征调节芬太尼掺假与可卡因之间的关系 需求我的工作假设是更多的芬太尼知识和更多的阿片类药物经验将与 减少对芬太尼掺杂可卡因的需求。预期成果是:1。一种新的量化方法 可卡因中的芬太尼掺假如何影响可卡因使用者的行为识别个人特征 能缓和对芬太尼掺假的反应3.必要的培训和初步数据的F32或 F99/K 00将测试减少危害的干预措施,以减少对芬太尼掺杂可卡因的需求。这 NIDA临床试验网络五大湖节点的多样性补充(UG 1-DA 049467,资助 根据HEAL倡议)符合目标1(新的物质滥用研究和干预协议),目标 2(利用MTurk等数字技术)、目标4(支持有关物质和阿片类药物滥用的工作),以及 目标5(阿片类药物滥用的专业教育)的父母补助金,并将提供行为培训 经济学,减少危害的方法,和快速在线数据收集,以培训生从一个下, 代表寻求帮助受成瘾影响的边缘化社区的背景。

项目成果

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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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