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Updated: Oct 9, 2025

A Protocol for Measuring Cue Reactivity in a Rat Model of Cocaine Use Disorder
Published on: June 18, 2018
Effects of cocaine and/or heroin use on resting cardiovascular function
Mark K Greenwald1, Leslie H Lundahl1, Lina A Shkokani1
1Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA.
Background:
Regular cocaine and/or heroin use is associated with major health risks, especially cardiovascular disease, but confounded by other factors. We examined effects of chronic (years regular use) and recent (past-month) cocaine and heroin use, controlling for other factors, on resting cardiovascular function.
Methods:
In a sample of 292 cocaine and/or heroin users, we assessed demographics, body mass index (BMI), substance use history, electrocardiogram, heart rate (HR) and blood pressure (BP). Three-block (1: demographics, BMI; 2: tobacco, alcohol, cannabis; 3: cocaine, heroin) regression analyses were conducted to predict cardiovascular measures.
Results:
Higher BMI predicted increased systolic and diastolic BP (as did older age), increased supine HR, and longer QRS duration, QTc interval, PR interval, and P-wave duration. Past-month cannabis-use days predicted higher systolic BP, lower supine HR, and greater likelihood of early repolarization and ST elevation; average daily cannabis use predicted shorter QTc interval. Average daily alcohol use predicted higher diastolic BP, higher supine HR and lower likelihood of sinus bradycardia (HR < 60 bpm). Past-month tobacco-use days predicted shorter QTc interval and lower lower likelihood of profound bradycardia (HR < 50 bpm). Past-month heroin-use days predicted lower seated HR, greater likelihood of sinus bradycardia and lower likelihood of left ventricular hypertrophy. More years of regular cocaine use and past-month cocaine-use days predicted longer QTc interval.
Conclusions:
Cocaine and heroin use incrementally predicted modest variance in resting bradycardia and QTc interval. Clinicians should first consider demographics and recent use of tobacco, alcohol and cannabis before assuming cocaine and heroin affect these measures.
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