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Identifying Neurobiological Mechanisms That Underlie Acute Nicotine Withdrawal and Drive Early Relapse in Smokers

ClinicalTrials.gov · COMPLETED, 2020

112 participants

Abstract

Background:

\- Smoking is thought to cause changes in the brain that lead to addiction and craving. Smokers who try to quit experience nicotine withdrawal symptoms that include irritability, anxiety, and difficulty concentrating. These symptoms make it difficult for people to stop smoking. Many people say that they continue smoking to help relieve these symptoms, often within the first week after trying to quit. Researchers want to study what is happening in the brain to cause these symptoms, which may help identify new ways to successfully quit smoking.

Objectives:

\- To study nicotine withdrawal symptoms and brain function in smokers who stop smoking for 36 hours.

Eligibility:

\- Individuals between 18 and 65 years of age who smoke at least 10 cigarettes per day. Participants must be able to stop smoking for 36 hours on two occasions.

Design:

Phase 1

* This study will involve three visits to the National Institute on Drug Abuse.

* NOT be able to smoke for 36 hours before the two imaging visits.

* Wear a nicotine skin patch or a placebo (fake) patch during your 36 hour smoking abstinence period and study visits.

* Have your blood drawn to test for levels of stress-related hormones.

* Complete multiple MRI scanning sessions that last about 1.5 to 2 hours each.

* Undergo EEG (brain waves) recording.

* Answer questionnaires about how you think and feel.

* Complete various tasks and procedures inside and outside of the MRI scanner.

Phase 2

* This study will involve thirteen…

How strong is the evidence?

Evidence Hub reads this as a clinical trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 112 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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