Pain Predicts Cannabis Initiation Among Emerging Adults: Results from the Population Assessment of Tobacco and Health (PATH) Study

Pain is highly prevalent among emerging adults (18-25 years old), and rates of cannabis use are increasing among this population. Research indicates pain is a unique risk factor and motivator for substance use. However, evidence for pain-cannabis use relations among emerging adults is largely cross-sectional, and the only prospective evidence focuses on the frequency, quantity, and consequences of cannabis use, not initiation. Accordingly, this is the first study to examine pain as a prospective predictor of cannabis initiation among emerging adults. Data were drawn from five annual waves of the Population Assessment of Tobacco and Health Study. Emerging adults who denied cannabis use at baseline (<i>n</i> = 4,185) were included in the analysis. At baseline, a tenth of emerging adults reported moderate/severe pain (≥4/10). Adjusted Cox regression analysis revealed that emerging adults with moderate/severe baseline pain were more likely to initiate cannabis use, and did so earlier over the subsequent 4 years, than those with no/low baseline pain. These findings provide initial evidence for pain as a risk factor for cannabis initiation during emerging adulthood. Future research is needed to identify mechanisms by which pain motivates cannabis initiation and to examine the utility of pain-targeted content in cannabis use prevention and intervention efforts among emerging adults.

Authors

Institutions

Publication Details

Journal
Behavioral Medicine
Published
2025-02-26
DOI
https://doi.org/10.1080/08964289.2025.2465525
Citations
2
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
2.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pain Predicts Cannabis Initiation Among Emerging Adults: Results from the Population Assessment of Tobacco and Health (PATH) Study

Nadine R. Mastroleo, Callon M. Williams, Mark F. Lenzenweger, Emily L. Zale
2 citations
Behavioral Medicine
Cannabis and Cannabinoid Research
2.79
article

Pain Predicts Cannabis Initiation Among Emerging Adults: Results from the Population Assessment of Tobacco and Health (PATH) Study

Nadine R. Mastroleo, Callon M. Williams, Mark F. Lenzenweger, Emily L. Zale
article en
2 citations

Abstract

Pain is highly prevalent among emerging adults (18-25 years old), and rates of cannabis use are increasing among this population. Research indicates pain is a unique risk factor and motivator for substance use. However, evidence for pain-cannabis use relations among emerging adults is largely cross-sectional, and the only prospective evidence focuses on the frequency, quantity, and consequences of cannabis use, not initiation. Accordingly, this is the first study to examine pain as a prospective predictor of cannabis initiation among emerging adults. Data were drawn from five annual waves of the Population Assessment of Tobacco and Health Study. Emerging adults who denied cannabis use at baseline (<i>n</i> = 4,185) were included in the analysis. At baseline, a tenth of emerging adults reported moderate/severe pain (≥4/10). Adjusted Cox regression analysis revealed that emerging adults with moderate/severe baseline pain were more likely to initiate cannabis use, and did so earlier over the subsequent 4 years, than those with no/low baseline pain. These findings provide initial evidence for pain as a risk factor for cannabis initiation during emerging adulthood. Future research is needed to identify mechanisms by which pain motivates cannabis initiation and to examine the utility of pain-targeted content in cannabis use prevention and intervention efforts among emerging adults.

Behavioral MedicineVol. 51(3)
Binghamton University (US), Cornell University (US), Weill Cornell Medicine (US)
Good health and well-being
Openalex Percentile: Top 12%
Cannabis and Cannabinoid Research
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.