Brain volume loss in polysubstance users was linked to total number of substances, not cannabis specifically

A study of 169 men found that medial prefrontal cortex volume loss was associated with the total number of substances used rather than any single drug, though tobacco and cocaine showed specific effects in other brain regions after controlling for polysubstance use.

Kaag, A M et al.·Drug and alcohol dependence·2018·Moderate EvidenceCross-Sectional
RTHC-01708Cross SectionalModerate Evidence2018RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Cross-Sectional
Evidence
Moderate Evidence
Sample
N=169

What This Study Found

Researchers measured gray matter volume in 169 men across six groups ranging from non-users to heavy polysubstance users (alcohol, tobacco, cocaine, and cannabis).

The number of substances used was negatively associated with volume in the dorsal and ventral medial prefrontal cortex (mPFC). More substances used correlated with less volume in these regions.

Without controlling for other substances, alcohol, tobacco, and cocaine all showed negative associations with dorsal mPFC volume. But after controlling for polysubstance use, these associations disappeared for the mPFC.

Substance-specific effects did emerge in other regions: tobacco was specifically associated with reduced thalamic volume, and cocaine with reduced ventrolateral PFC volume, even after accounting for other substance use.

Cannabis did not show independent effects on gray matter volume after controlling for other substance use.

Key Numbers

169 males: 15 non-users, 89 moderate drinkers, 27 drinkers + tobacco, 13 drinkers + tobacco + cocaine, 10 heavy drinkers + tobacco + cocaine, 15 heavy drinkers + tobacco + cannabis + cocaine. Dorsal and ventral mPFC volume negatively correlated with number of substances.

How They Did This

Cross-sectional neuroimaging study of 169 males in six substance use groups. Voxel-based morphometry for gray matter volume. Regression analyses with and without controlling for co-occurring substance use.

Why This Research Matters

Most brain imaging studies of cannabis users do not adequately control for polysubstance use. This study demonstrates that brain volume differences often attributed to individual substances may actually reflect cumulative polysubstance exposure, which changes how we interpret neuroimaging findings.

The Bigger Picture

This challenges the common approach of studying single-substance effects on the brain without accounting for polysubstance use. The mPFC findings suggest a general "substance burden" effect, while specific substances may affect distinct brain regions beyond this general effect.

What This Study Doesn't Tell Us

Cross-sectional design cannot establish causation. All-male sample limits generalizability. Cannabis users were only in the heaviest polysubstance group, making it hard to isolate cannabis-specific effects. No pre-substance-use baseline measurements.

Questions This Raises

  • ?Would cannabis show independent brain effects in a sample of cannabis-only users?
  • ?Does the cumulative substance burden effect reverse with abstinence?
  • ?Are the mPFC changes a cause or consequence of polysubstance use?

Trust & Context

Key Stat:
Prefrontal volume loss tracked with number of substances used, not any individual drug
Evidence Grade:
Moderate. Well-designed neuroimaging study with appropriate controls for polysubstance use, but cross-sectional design and all-male sample limit causal inference.
Study Age:
Published in 2018. The importance of controlling for polysubstance use in neuroimaging research has been increasingly recognized.
Original Title:
The relation between gray matter volume and the use of alcohol, tobacco, cocaine and cannabis in male polysubstance users.
Published In:
Drug and alcohol dependence, 187, 186-194 (2018)
Database ID:
RTHC-01708

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study

A snapshot of a population at one point in time.

What do these levels mean? →

Frequently Asked Questions

Does this mean cannabis does not damage the brain?

This study found no independent cannabis effect on gray matter volume after controlling for other substance use. However, cannabis users were only in the heaviest polysubstance group, making it difficult to isolate cannabis-specific effects. It does not prove cannabis is harmless to the brain.

Why does the number of substances matter more than which ones?

The medial prefrontal cortex may be vulnerable to a general "toxic burden" from substance use rather than responding to specific pharmacological effects. Each additional substance adds stress to brain regions involved in decision-making and impulse control.

Read More on RethinkTHC

Cite This Study

RTHC-01708·https://rethinkthc.com/research/RTHC-01708

APA

Kaag, A M; Schulte, M H J; Jansen, J M; van Wingen, G; Homberg, J; van den Brink, W; Wiers, R W; Schmaal, L; Goudriaan, A E; Reneman, L. (2018). The relation between gray matter volume and the use of alcohol, tobacco, cocaine and cannabis in male polysubstance users.. Drug and alcohol dependence, 187, 186-194. https://doi.org/10.1016/j.drugalcdep.2018.03.010

MLA

Kaag, A M, et al. "The relation between gray matter volume and the use of alcohol, tobacco, cocaine and cannabis in male polysubstance users.." Drug and alcohol dependence, 2018. https://doi.org/10.1016/j.drugalcdep.2018.03.010

RethinkTHC

RethinkTHC Research Database. "The relation between gray matter volume and the use of alcoh..." RTHC-01708. Retrieved from https://rethinkthc.com/research/kaag-2018-the-relation-between-gray

Access the Original Study

Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.