A Phase 1 interventional study of Alcohol (Oral) and Alcohol (IV) in Alcohol Drinking, sponsored by National Institute on Alcohol Abuse and Alcoholism (NIAAA). Recruiting at 1 site in United States. Open to participants aged 21 Years to 60 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-09.
Sponsored by National Institute on Alcohol Abuse and Alcoholism (NIAAA) · Phase 1, Interventional, and Basic science
Background:
People with the brain disease AUD (alcohol use disorder) have a serious problem with drinking. Researchers want to study how different people react to alcohol, and how genes affect this. They will focus on a nicotine receptor gene that may increase a person s AUD risk.
Objectives:
To see if people with variations of a nicotine receptor gene take alcohol differently and have different brain responses to alcohol cues.
Eligibility:
Healthy adults ages 21 - 60. This study includes smokers and non-smokers.
Design:
Participation will be based on evaluation under the NIAAA natural history protocol (14-AA-0181) or a screening visit under this protocol.
Participants will have two 9-hour visits. They must have no alcohol or non-prescription drugs before all visits and no food or drink before the first visit.
At every visit, participants will:
At visits 1, participants will:
At visit 2, participants will:
Participants will have a follow-up call after each visit....
Objectives:
Alcohol use disorder (AUD) is a chronic disease that has a tremendously negative impact on individuals and their families and a substantial burden on society. Research on quantitative endophenotypes such as alcohol response, and their genetic and environmental determinants, is critical to understanding the risk for AUD. There has been a great interest in examining variation in target genes that may play a mechanistic role in the expression of these endophenotypes, such the missense single-nucleotide polymorphism (SNP) in the gene encoding the 5 subunit of the nicotinic acetylcholine receptor (CHRNA5) - rs16969968. Studies have shown that CHRNA5 A-allele carriers are at greater risk for nicotine addiction and smoking-related consequences. However, little work has been done to examine the effect of this SNP on alcohol use, dependence, or alcohol response. Given the high prevalence of nicotinic receptors on dopamine (DA) neurons in brain reward regions, and the high co-use and abuse of alcohol and nicotine, these receptors may play a critical role in modulating incentive salience and reward responses to alcohol. Thus, the goal of this project is to examine the influence of CHRNA5 variation and smoking status (smokers and non-smokers) on alcohol-related phenotypes, including intravenous alcohol self-administration (IV-ASA) behavior and neuroimaging responses to cues signaling alcohol rewards.
Study Population:
This study will include 128 male and female, non-dependent drinkers, 21-60 years of age. Participants will be stratified into 4 equally-sized groups based on their smoking status (smokers and non-smokers) and rs16969968 genotype: 1). A-allele carriers (AA or AG genotype), and 2). G-allele homozygotes (GG genotype). The study will be open to all racial and ethnic groups, as long as the individual meets the genotype criteria. Participants will be in good health as determined by medical history, physical exam, ECG, and lab tests based on evaluation under the NIAAA natural history protocol (14-AA-0181) or a screening visit under this protocol.
Design:
Participants will undergo two study procedure visits. One visit will include an IV alcohol self-administration (IV-ASA) session using the Computer-Assisted Infusion System (CAIS), which employs a physiologically-based pharmacokinetic (PBPK) model-based algorithm that allows participants free access to standardized alcohol infusions. During this session, breath alcohol concentrations (BrAC) and subjective responses will be measured as markers of the rewarding effects of alcohol. Another visit, participants will undergo a magnetic resonance imaging (MRI) session where they will be scanned while performing the Alcohol-Food Incentive Delay (AFID) task, which assesses neural processing while responding to cues signaling alcohol reward. Additional fMRI task-based scans and a resting-state scan will also be obtained.
Outcome Measures:
The following measures will be examined as a function of smoking status (smokers and non-smokers) and CHRNA5 genotype. The influence of sex, age, and recent drinking history will be examined as covariates. Primary outcome measures include: (1a) BrAC exposure (peak BrAC, number of infusions, time to binge-level BrAC) during the free-access IV-ASA; (1b) BOLD response during the AFID task in neural regions associated with alcohol reward processing, including ventral striatum, amygdala, and insula. Secondary outcome measures include; resting state functional connectivity (rsFC) between the regions associated with the salience network, including dorsal anterior cingulate cortex, insula, ventral striatum, and extended amygdala.
701 studies on the registry are indexed under Alcohol Drinking; 133 are open to participants now.
This study's planned enrollment of 128 is close to the median of 122 across 607 interventional studies indexed under Alcohol Drinking.
Browse Alcohol Drinking studies →National Institute on Alcohol Abuse and Alcoholism (NIAAA) is the lead sponsor of 102 studies on the registry; 14 are open to participants now.
Of its 13 completed or terminated interventional studies of FDA-regulated products, 9 (69%) have results posted.
Compared within Alcohol Drinking, the registry's first condition term, which may not be this study's main condition. Counted across the registry records on this site, refreshed daily. How we classify →
Inclusion and exclusion criteria will be evaluated from the data collected under the Natural History Protocol or screening update visit under this protocol.
INCLUSION CRITERIA:
Smoking status:
EXCLUSION CRITERIA:
Non-English speaking individuals. Justification: The study materials, MRI tasks and
assessments (including the outcome measures) are validated only in English language.
Medication exclusion criteria:
Note that any discontinuation of medications will only be done at the recommendation of a physician. [assessment: medical history and physical exam]
Exclusion criteria for MRI:
Exclusion criteria for women: Justification: To minimize the risk of administering alcohol to pregnant or nursing women, given the known effects of alcohol exposure on fetuses and infants.
Screen Failures:
Screen failures are defined as participants who consent to participate in the clinical trial but are not subsequently assigned to the study intervention or entered in the study. A minimal set of screen failure information is required to ensure transparent reporting of screen failure participants, to meet the Consolidated Standards of Reporting Trials (CONSORT) publishing requirements and to respond to queries from regulatory authorities. Minimal information includes demography, screen failure details, eligibility criteria, and any serious adverse event (SAE).
Individuals who do not meet the criteria for participation in this trial (screen failure) because of a positive drug test, positive pregnancy test or positive breathalyzer reading may be rescreened. Rescreened participants should be assigned the same participant number as for the initial screening.
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.
Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.
Judged by the study doctor to matter for your health or for the study. It is a doctor’s decision, so ask the study team if you are unsure whether something counts.
A recording of the heart’s electrical activity, taken with stickers on the chest, arms and legs. It takes a few minutes and does not hurt.
The human immunodeficiency virus, which weakens the immune system.
Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Contraception
Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.
Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Clinically significant
Judged by the study doctor to matter for your health or for the study. It is a doctor’s decision, so ask the study team if you are unsure whether something counts.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
ECG (electrocardiogram)
A recording of the heart’s electrical activity, taken with stickers on the chest, arms and legs. It takes a few minutes and does not hurt.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
HIV
The human immunodeficiency virus, which weakens the immune system.
Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Contraindication
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Alcohol self-administration (IV ethanol for sessions 1 and oral for session 2)
Drug: Alcohol (Oral) · Drug: Alcohol (IV) · Drug: Alcohol (Ethanol)
Oral Self-administration
IV Self-administration
IV and Oral Self-administration
To examine the effect of CHRNA5 (rs16969968) genetic variation on neural correlates of incentive salience for alcohol, as measured by BOLD response during the Alcohol-Food Incentive Delay (AFID) task using fMRI.
The following measures will be examined as a function of smoking status (smokers and non-smokers) and CHRNA5 genotype. The influence of sex, age, and recent drinking history will be examined as covariates. Primary outcome measures include: (1a) BrAC exposure (peak BrAC, number of infusions, time to binge-level BrAC) during the free-access IV-ASA; (1b) BOLD response during the AFID task in neural regions associated with alcohol reward processing, including ventral striatum, amygdala, and insula. Secondary outcome measures include: (2a) resting state functional connectivity (rsFC) between the regions associated with the salience network, including dorsal anterior cingulate cortex, ventral striatum, and extended amygdala; (2b) preferred rate of self-infusion during the second IV-ASA session.
Time frame: 3 hours
To examine the effect of CHRNA5 (rs16969968) genetic variation on IV alcohol self-administration, as measured by BrAC exposure (peak BrAC, number of infusions, time to binge-level) in non-smoking, non-dependent drinkers.
The following measures will be examined as a function of smoking status (smokers and non-smokers) and CHRNA5 genotype. The influence of sex, age, and recent drinking history will be examined as covariates. Primary outcome measures include: (1a) BrAC exposure (peak BrAC, number of infusions, time to binge-level BrAC) during the free-access IV-ASA; (1b) BOLD response during the AFID task in neural regions associated with alcohol reward processing, including ventral striatum, amygdala, and insula. Secondary outcome measures include: (2a) resting state functional connectivity (rsFC) between the regions associated with the salience network, including dorsal anterior cingulate cortex, ventral striatum, and extended amygdala; (2b) preferred rate of self-infusion during the second IV-ASA session.
Time frame: 3 hours
To examine the relationship between fMRI measures (BOLD response during AFID and rsFC measures) and IV alcohol self-administration, and any differences in the degree of association among these measures by CHRNA5 genotype.
Time frame: 3 hours
To examine the effect of CHRNA5 (rs16969968) genetic variation on the rate of IV alcohol self-administration, as measured by the preferred rate during the second IV-ASA session in non-smoking, non-dependent drinkers.
Time frame: 3 hours
To examine the effect of CHRNA5 (rs16969968) genetic variation on resting-state functional connectivity (rsFC) among brain regions associated with the salience network, including dorsal anterior cingulate cortex, ventral striatum and extended am...
Time frame: 3 hours
Started Jun 2019 (actual). Primary completion is estimated for Dec 2026, 90 months after the start.
Of 32 non-industry phase 1 interventional studies under Alcohol Drinking, half reached primary completion within 40 months of starting (the median), counting those still running; a quarter within 23 and three quarters within 49. This study's planned 90 months is above that.
Counting every sponsor, half of 34 studies reached it within 37 months; a quarter within 21 and three quarters within 48.
How these figures are worked out, and which studies are left out of them.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
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Studies of the drug tested here: Ethanol
National Institute on Alcohol Abuse and Alcoholism (NIAAA) →