Cannabinoid profiling across toxicology samples in adolescents and young adults by route of administration and in relation to depression symptoms

Cannabis use is common, with diversity in cannabis products contributing to difficulty in accurately assessing the impact of cannabis use in vulnerable populations such as emerging adults. This study describes and assesses concurrence across toxicological matrices (oral fluid, plasma, urine, and hair) and self-reported cannabis use days. Further, it examines whether 11-nor-9-carboxy-tetrahydrocannabinol (THCCOOH, the primary metabolite of Δ9-tetrahydrocannbinol [THC]) concentration or use patterns varies by administration route (smoked flower or vaped concentrate) or predicts depression symptoms. Here, cannabis using (n = 70) and non-using (n = 24) adolescents and young adults (64% female; ages 18-21) were asked to contribute oral fluid, blood, urine, and hair for toxicological testing and self-reported past-90 days of cannabis use, including route of administration. Positive and negative toxicological results by matrix are presented, with sensitivity and specificity calculated. Correlations between THCCOOH concentration across matrices and self-report use were run. Analysis of variance models (ANOVAs) tested whether product type (smoked flower v. vaped concentrate) influenced cannabis use patterns, use to avoid withdrawal, or THCCOOH concentration. Regressions assessed cannabis metrics predicting depression symptoms, controlling for biological sex. All matrices demonstrated excellent specificity (100%), with largely adequate sensitivity (63-74%) except for oral fluid (12%). Self-report and toxicological metrics were significantly correlated (r's = .41-.97), except for avoiding withdrawal. THCCOOH concentration across matrices did not differ by route of administration group; groups also did not differ by self-reported use days or avoiding withdrawal symptoms (p's = .16-.66). Only plasma THCCOOH concentration predicted depression symptoms (beta = 4.43, p < .001). Taken together, toxicological matrices and self-reported cannabis use offer concurrent information in adolescents and young adults who regularly use cannabis. Plasma THCCOOH concentration uniquely predicted self-reported depression symptoms, indicating utility of toxicological cannabinoid concentration predicting clinical outcomes. Given the complexity of measuring cannabis use due to the plethora of available products and rise of new popular cannabinoids, use of toxicological results may offer new insights into clinical outcomes in those who frequently use cannabis.

Authors

Institutions

Publication Details

Journal
Journal of Analytical Toxicology
Published
2025-06-06
DOI
https://doi.org/10.1093/jat/bkaf051
Citations
3
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
4.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cannabinoid profiling across toxicology samples in adolescents and young adults by route of administration and in relation to depression symptoms

Marilyn A. Huestis, Gianna Andrade, Kelly E. Courtney, Rachel Baca et al.
3 citations
Journal of Analytical Toxicology
Cannabis and Cannabinoid Research
4.18
article

Cannabinoid profiling across toxicology samples in adolescents and young adults by route of administration and in relation to depression symptoms

Marilyn A. Huestis, Gianna Andrade, Kelly E. Courtney, Rachel Baca, Cristina Sempio, Joanna Jacobus, Uwe Christians, Natasha E. Wade, Jost Klawitter, Alexander L. Wallace, Joseph P. Happer
article en
3 citations

Abstract

Cannabis use is common, with diversity in cannabis products contributing to difficulty in accurately assessing the impact of cannabis use in vulnerable populations such as emerging adults. This study describes and assesses concurrence across toxicological matrices (oral fluid, plasma, urine, and hair) and self-reported cannabis use days. Further, it examines whether 11-nor-9-carboxy-tetrahydrocannabinol (THCCOOH, the primary metabolite of Δ9-tetrahydrocannbinol [THC]) concentration or use patterns varies by administration route (smoked flower or vaped concentrate) or predicts depression symptoms. Here, cannabis using (n = 70) and non-using (n = 24) adolescents and young adults (64% female; ages 18-21) were asked to contribute oral fluid, blood, urine, and hair for toxicological testing and self-reported past-90 days of cannabis use, including route of administration. Positive and negative toxicological results by matrix are presented, with sensitivity and specificity calculated. Correlations between THCCOOH concentration across matrices and self-report use were run. Analysis of variance models (ANOVAs) tested whether product type (smoked flower v. vaped concentrate) influenced cannabis use patterns, use to avoid withdrawal, or THCCOOH concentration. Regressions assessed cannabis metrics predicting depression symptoms, controlling for biological sex. All matrices demonstrated excellent specificity (100%), with largely adequate sensitivity (63-74%) except for oral fluid (12%). Self-report and toxicological metrics were significantly correlated (r's = .41-.97), except for avoiding withdrawal. THCCOOH concentration across matrices did not differ by route of administration group; groups also did not differ by self-reported use days or avoiding withdrawal symptoms (p's = .16-.66). Only plasma THCCOOH concentration predicted depression symptoms (beta = 4.43, p < .001). Taken together, toxicological matrices and self-reported cannabis use offer concurrent information in adolescents and young adults who regularly use cannabis. Plasma THCCOOH concentration uniquely predicted self-reported depression symptoms, indicating utility of toxicological cannabinoid concentration predicting clinical outcomes. Given the complexity of measuring cannabis use due to the plethora of available products and rise of new popular cannabinoids, use of toxicological results may offer new insights into clinical outcomes in those who frequently use cannabis.

Journal of Analytical ToxicologyVol. 49(8)
Thomas Jefferson University (US), University of California San Diego (US), Jefferson Institute (US), University of Colorado Anschutz Medical Campus (US)
Good health and well-being
Openalex Percentile: Top 6%
Cannabis and Cannabinoid Research
4.18
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.