Genetic Evidence Links Substance Use to Faster Biological Aging

Using genomic data from up to 2.7 million people, researchers found that genetic predisposition to tobacco and problematic alcohol use causally accelerated biological aging, with mixed evidence for cannabis use disorder.

Balbona, Jared V et al.·Addiction biology·2025·Moderate EvidenceCross-Sectional
RTHC-06002Cross SectionalModerate Evidence2025RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Cross-Sectional
Evidence
Moderate Evidence
Sample
Not reported

What This Study Found

Mendelian randomization analyses found significant causal effects of genetic predisposition to tobacco use disorder and smoking quantity on markers of biological, physical, and cognitive aging. Causal effects of problematic alcohol use and cannabis use disorder were also detected but with mixed results across different aging markers. Evidence of reverse causality (aging causing substance use) was minimal.

Key Numbers

GWAS data from 28,000 to 2.7 million participants. Widespread genetic correlations found between substance use/use disorders and aging metrics. Tobacco showed the strongest causal effects. Cannabis use disorder showed some causal effects but findings were mixed across aging markers.

How They Did This

Researchers used genome-wide association study data (sample sizes from 28K to 2.7M) to test genetic correlations between substance use and aging metrics using LDSC regression. Mendelian randomization was then used to assess causal relationships between genetic predisposition to substance use and various aging indices.

Why This Research Matters

This study uses genetic methods to move beyond correlation and test whether substance use actually causes accelerated aging. The approach helps disentangle whether substance users age faster because of their use or because of shared underlying factors.

The Bigger Picture

While tobacco's effect on aging is well established, this genetic approach provides some of the first causal evidence that cannabis use disorder may also contribute to accelerated biological aging, though the evidence is weaker and less consistent than for tobacco.

What This Study Doesn't Tell Us

Mendelian randomization assumes genetic instruments affect aging only through substance use, which may not always hold. Cannabis use disorder GWAS sample sizes are smaller than for tobacco or alcohol. Most data comes from European ancestry populations.

Questions This Raises

  • ?Which specific aging pathways are affected by cannabis use disorder?
  • ?Does the severity or duration of CUD matter for aging effects?
  • ?Would larger cannabis-specific GWAS clarify the mixed findings?

Trust & Context

Key Stat:
Causal evidence for CUD and accelerated aging was mixed but present
Evidence Grade:
Moderate: large-scale genomic analysis using rigorous Mendelian randomization methods, but cannabis-specific findings were inconsistent across aging markers
Study Age:
Published in 2025
Original Title:
Leveraging Genomic Data to Examine the Causal Impact of Alcohol, Tobacco, Cannabis, and Opioid Use on Biological and Cognitive Ageing.
Published In:
Addiction biology, 30(7), e70066 (2025)
Database ID:
RTHC-06002

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 cannabis make you age faster?

This genetic study found some evidence that predisposition to cannabis use disorder is causally linked to markers of accelerated aging, but findings were mixed across different aging measures. The evidence is much stronger for tobacco and alcohol.

What is Mendelian randomization?

It is a genetic method that uses inherited DNA variants as natural experiments to test whether an exposure (like substance use) causally affects an outcome (like aging). Because genes are assigned at conception, this approach helps avoid the confounding that plagues observational studies.

Read More on RethinkTHC

Cite This Study

RTHC-06002·https://rethinkthc.com/research/RTHC-06002

APA

Balbona, Jared V; Jeffries, Paul; Gorelik, Aaron J; Nelson, Elliot C; Bogdan, Ryan; Agrawal, Arpana; Johnson, Emma C. (2025). Leveraging Genomic Data to Examine the Causal Impact of Alcohol, Tobacco, Cannabis, and Opioid Use on Biological and Cognitive Ageing.. Addiction biology, 30(7), e70066. https://doi.org/10.1111/adb.70066

MLA

Balbona, Jared V, et al. "Leveraging Genomic Data to Examine the Causal Impact of Alcohol, Tobacco, Cannabis, and Opioid Use on Biological and Cognitive Ageing.." Addiction biology, 2025. https://doi.org/10.1111/adb.70066

RethinkTHC

RethinkTHC Research Database. "Leveraging Genomic Data to Examine the Causal Impact of Alco..." RTHC-06002. Retrieved from https://rethinkthc.com/research/balbona-2025-leveraging-genomic-data-to

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.