PET Imaging in Cocaine Self Administration
- Conditions
- Cocaine Dependence
- Interventions
- Other: [11C]-P943
- Registration Number
- NCT02181491
- Lead Sponsor
- Yale University
- Brief Summary
There has been recent interest in the role of the 5-HT1B receptor as a possible modulating factor in cocaine dependence, certainly in preclinical models. The Yale Positron Emission Tomography (PET) Center has developed a novel 5-HT1B receptor antagonist radioligand, \[11C\]-P943, which has been validated in human studies. We hypothesize that the 5-HT1B receptor plays a key role in cocaine dependence. The long term goal of this project would be to study pharmacological manipulation of the 5-HT1B receptor as a potential molecular target for cocaine dependence.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 30
- age 18 - 50 years
- voluntary, written, informed consent
- physically healthy by medical history, physical, neurological, ECG, and laboratory examinations
- for females, non-lactating, no longer of child-bearing potential (or agree to practice effective contraception during the study), and a negative serum pregnancy (B-HCG) test
- English speaking
- No other major Axis DSM-IV diagnosis present, besides required as below
Inclusion criteria for cocaine dependent:
- DSM-IV criteria for Cocaine Abuse (305.60) or Cocaine Dependence (304.20)
- recent street cocaine use
- intravenous and/or smoked (crack/ freebase) use
- positive urine toxicology screen for cocaine
Inclusion criteria for healthy controls:
- No current, or history of, any DSM-IV diagnosis
- No first-degree relative with history of psychotic, mood, or anxiety disorder
- medical contraindications to AMPT administration (e.g., known sensitivity/reaction to AMPT)
- medical contraindications to MPH administration (e.g., history of cardiac problems, seizures, etc.)
- drug or alcohol dependence (except nicotine)
- a primary major DSM-IV psychiatric diagnosis (schizophrenia, bipolar disorder, etc.), unrelated to cocaine or pathological gambling
- positive answers on the cardiac screening questionnaire that may place the subject at higher risk, as determined by cardiologist review of both the questionnaire responses and screening ECG
- current use of psychotropic and/or potentially psychoactive prescription medication
- physical or laboratory (B-HCG) evidence of pregnancy
- clotting disorders or recent anticoagulant therapy
- MRI-incompatible implants and other contraindications for MRI (i.e., aneurysm clip, metal fragments, internal electrical devices such as a cochlear implant, spinal cord stimulator or pacemaker)
- history of claustrophobia or feeling of inability to lie still on his back for the PET or MRI scans
- history of prior radiation exposure for research purposes within the past year such that participation in this study would place them over Radioactive Drug Research Committee (RDRC) limits for annual radiation exposure. This guideline is an effective dose of 5 rem received per year
- donation or loss of 550 mL of blood or more (including plasmapheresis) or receipt of a transfusion of any blood product within 8 weeks prior to the first dose of study drug
- use any prescription medications and/or over-the-counter medications, vitamins and/or herbal supplements within 2 weeks prior to study and for the duration of the study without approval from the study doctor
- eat grapefruit or grapefruit products, and drink alcohol, and anything containing caffeine 3 days before study and during study
- For CD subjects, < 1 year of cocaine dependence
- Subjects with current, past, or anticipated exposure to radiation in the workplace
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description P943 PET Scan [11C]-P943 -
- Primary Outcome Measures
Name Time Method BPND 1 week BPND is a measure of serotonin receptor availability
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Connecticut Mental Health Center
🇺🇸New Haven, Connecticut, United States