Breast milk Δ9-tetrahydrocannabinol in cannabis users during the postpartum period: correlation between breast milk, maternal urine and saliva samples during early lactation - Summary - MDSpire
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Breast milk Δ9-tetrahydrocannabinol in cannabis users during the postpartum period: correlation between breast milk, maternal urine and saliva samples during early lactation
To assess Δ9-THC concentrations in breast milk and saliva, and THC-COOH concentrations in urine among postpartum women with cannabis use at the time of delivery, and to explore correlations between these biological matrices during early lactation.
Approach:
Study Design: A longitudinal observational study conducted at Vall d’Hebron University Hospital in Barcelona, Spain, from April 2022 to December 2023.
Participants: Thirteen postpartum women aged over 18 years with a positive urine test for cannabis at delivery and intent to breastfeed.
Sample Collection: Saliva, urine, and breast milk samples were collected at 24 hours, 48 hours, and one week after birth.
Analysis Method: Δ9-THC and THC-COOH concentrations were analyzed using liquid chromatography–tandem mass spectrometry (LC-MS/MS).
Key Findings:
Urinary THC-COOH concentrations decreased progressively but remained quantifiable across all study stages among participants who abstained from cannabis.
Δ9-THC concentrations in breast milk decreased over time and were below the limit of quantification one week postpartum.
Salivary Δ9-THC concentrations were generally low and frequently below the limit of quantification.
Breast milk Δ9-THC concentrations at the first sampling stage were significantly correlated with salivary Δ9-THC and urinary THC-COOH concentrations.
Interpretation:
Δ9-THC concentrations in breast milk may decline rapidly after postpartum cannabis cessation, becoming non-quantifiable within the first postpartum week among participants who discontinued use after delivery.
Limitations:
Small sample size of thirteen participants.
Short duration of the study may not capture long-term trends.
Limited generalizability due to specific population studied.
Conclusion:
Larger prospective studies are needed to confirm these findings.
by Miguel Sandonís, Maia Brik, Clara Ramirez, Laura Castellote, Anna Creus, Gemma Parramón, Anna Suy, Josep Antoni Ramos-Quiroga, Raul Felipe Palma-Álvarez, Constanza Daigre
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