View clinical trials related to Cocaine Use.
Filter by:Cocaine use has increased in our country in recent decades. It is associated with cardiovascular events and early atherosclerotic disease. Acute coronary syndrome (ACS) is one of its most frequent and serious manifestations. There is a lack of scientific information on ACS associated with acute and chronic cocaine use in Argentina. This study aims to describe the socioeconomic, clinical, and coronary angiographic characteristics, as well as the extent of atherosclerotic disease in patients with ACS associated with cocaine use, and to compare them with ACS not associated with cocaine use. Methods: We propose an observational, analytical, single-center, two-phase study, with a retrospective and a prospective component. Patients with a diagnosis of ACS admitted to the coronary care unit of a high-complexity public hospital will be included. Clinical, biochemical, coronary angiographic, extracoronary atherosclerotic disease extension and prognostic variables will be described. These variables will be compared between patients with cocaine-associated ACS and non-cocaine-associated ACS.
The goal of this clinical trial is to determine the effects of an app to reduce opioid and cocaine use when layered atop methadone treatment as usual among people using both opioids and cocaine. The main questions it aims to answer are: - Do people who use the app remain in methadone treatment longer than people who receive only treatment as usual? - Do people who use the app report using opioids and/or cocaine less often, and do they report better improvements in their quality of life, than people who receive only treatment as usual? - Does using the app more lead to better methadone treatment outcomes among people using the app? Participants in this study will be randomly assigned to receive either the app or methadone treatment as usual. Participants randomly assigned to the treatment as usual group will receive access to methadone services as normally provided, including scheduled access to medications, information about the consequences of opioid and other drug use, and any onsite services (including group based interventions and/or 12-step programs). Those randomized into the app-using group will receive all the same services as the treatment as usual group, but will also be given a phone with the app already installed, or will have the app installed on their existing phone if they already have one. At random times throughout the week, the app will ask participants to submit drug tests for opioids and cocaine, which participants will be able to do remotely without having to physically "go to" a testing site. For each test that demonstrates the participant hasn't used opioids or cocaine, the participant will be rewarded with money directly into a debit card. Participants will also be able to earn rewards for picking up treatment-related medications, attending onsite appointments, and other treatment-related activities.
Combatting the rise of the opioid epidemic is a central challenge of U.S. health care policy. A promising approach for improving welfare and decreasing medical costs of people with substance abuse disorders is offering incentive payments for healthy behaviors. This approach, broadly known as "contingency management" in the medical literature, has repeatedly shown to be effective in treating substance abuse. However, the use of incentives by treatment facilities remains extremely low. Furthermore, it is not well understood how to design optimal incentives to treat opioid abuse. This project will conduct a randomized evaluation of two types of dynamically adjusting incentive schedules for people with opioid use disorders or cocaine use disorders: "escalating" schedules where incentive amounts increase with success to increase incentive power, and "de-escalating" schedules where incentive amounts decrease with success to improve incentive targeting. Both schemes are implemented with a novel "turnkey" mobile application, making them uniquely low-cost, low-hassle, and scalable. Effects will be measured on abstinence outcomes, including longest duration of abstinence and the percentage of negative drug tests. In combination with survey data, variation from the experiment will shed light on the barriers to abstinence more broadly and inform the understanding of optimal incentive design.