Learning from addiction: Craving of prescription opioids in chronic pain sufferers

Alcohol consumption and opioid craving among chronic pain patients prescribed long-term opioid therapy

BACKGROUND

Concurrent use of alcohol with opioids is common among chronic pain patients, heightening the risk for disordered opioid use and overdose, yet the relationship between alcohol consumption and opioid craving among chronic pain patients remains largely unexplored. Here we examined the relationship between alcohol consumption and opioid craving among chronic pain patients on long-term opioid therapy.

METHODS

A cross-sectional study was conducted with 335 chronic pain patients on long-term opioid therapy. Participants completed the Timeline Followback to assess alcohol consumption, as well as measures of opioid craving, pain severity, and pain interference. Linear regression analyses examined the relationship between alcohol consumption and opioid craving, controlling for pain severity, pain interference, and opioid misuse severity.

RESULTS

Alcohol consumption (total number of drinks and amount consumed in one sitting) was positively associated with opioid craving (p < 0.001 and p = 0.005, respectively). Pain severity did not predict opioid craving. The relationship between alcohol consumption and opioid craving remained significant after controlling for pain severity, pain interference, and opioid misuse severity.

CONCLUSION

Alcohol consumption is linked with more severe opioid craving among chronic pain patients prescribed long-term opioid therapy. Patients receiving opioid analgesics should be carefully screened for co-use of alcohol.

Connectome-based predictive modelling can predict follow-up craving after abstinence in individuals with opioid use disorders

Background

Individual differences have been detected in individuals with opioid use disorders (OUD) in rehabilitation following protracted abstinence. Recent studies suggested that prediction models were effective for individual-level prognosis based on neuroimage data in substance use disorders (SUD).

Aims

This prospective cohort study aimed to assess neuroimaging biomarkers for individual response to protracted abstinence in opioid users using connectome-based predictive modelling (CPM).

Methods

One hundred and eight inpatients with OUD underwent structural and functional magnetic resonance imaging (fMRI) scans at baseline. The Heroin Craving Questionnaire (HCQ) was used to assess craving levels at baseline and at the 8-month follow-up of abstinence. CPM with leave-one-out cross-validation was used to identify baseline networks that could predict follow-up HCQ scores and changes in HCQ (HCQfollow-up-HCQbaseline). Then, the predictive ability of identified networks was tested in a separate, heterogeneous sample of methamphetamine individuals who underwent MRI scanning before abstinence for SUD.

Results

CPM could predict craving changes induced by long-term abstinence, as shown by a significant correlation between predicted and actual HCQfollow-up (r=0.417, p<0.001) and changes in HCQ (negative: r=0.334, p=0.002；positive: r=0.233, p=0.038). Identified craving-related prediction networks included the somato-motor network (SMN), salience network (SALN), default mode network (DMN), medial frontal network, visual network and auditory network. In addition, decreased connectivity of frontal-parietal network (FPN)-SMN, FPN-DMN and FPN-SALN and increased connectivity of subcortical network (SCN)-DMN, SCN-SALN and SCN-SMN were positively correlated with craving levels.

Conclusions

These findings highlight the potential applications of CPM to predict the craving level of individuals after protracted abstinence, as well as the generalisation ability; the identified brain networks might be the focus of innovative therapies in the future.