Evidence map›Paper›PMID 42454326›Full record

ArticleFrontiers in psychiatry2026

Breast milk Δ9-tetrahydrocannabinol in cannabis users during the postpartum period: correlation between breast milk, maternal urine and saliva samples during early lactation.

Miguel Sandonís, Maia Brik, Clara Ramirez, Laura Castellote, Anna Creus, Gemma Parramón, Anna Suy, Josep Antoni Ramos-Quiroga, Raul Felipe Palma-Álvarez, Constanza Daigre

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Miguel SandonísDepartment of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Maia BrikDepartment of Obstetrics and Gynecology, Universitat Autònoma de Barcelona, Barcelona, Spain.
Clara RamirezClinical Biochemistry Research Group, Vall d'Hebron Research Institute (VHIR), Biochemical Core Facilities, Instituto de Investigación Sanitaria Hospital Universitari Vall d'Hebron (IIS IR-HUVH), Barcelona, Catalonia, Spain.
Laura CastelloteClinical Biochemistry Research Group, Vall d'Hebron Research Institute (VHIR), Biochemical Core Facilities, Instituto de Investigación Sanitaria Hospital Universitari Vall d'Hebron (IIS IR-HUVH), Barcelona, Catalonia, Spain.
Anna CreusDepartment of Neonatology, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Gemma ParramónDepartment of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Anna SuyDepartment of Obstetrics and Gynecology, Universitat Autònoma de Barcelona, Barcelona, Spain.
Josep Antoni Ramos-QuirogaDepartment of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Raul Felipe Palma-Álvarez *Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Constanza Daigre *Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cannabis use during pregnancy and the postpartum period has increased in recent years, raising clinical concerns regarding maternal and infant health, particularly during lactation. However, evidence regarding Δ9-THC concentrations in breast milk during the early postpartum period and their relationship with other biological matrices remains limited. Objective: This study aimed to assess Δ9-THC concentrations in breast milk and saliva, and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THC-COOH) concentrations in urine, among postpartum women with cannabis use at the time of delivery. A secondary objective was to explore correlations between these biological matrices during early lactation. Methods: A longitudinal observational study was conducted at Vall d'Hebron University Hospital (Barcelona, Spain) between April 2022 and December 2023. Thirteen postpartum women aged over 18 years with a positive urine test for cannabis at delivery and intent to breastfeed were included. Saliva, urine, and breast milk samples were collected at 24 hours, 48 hours, and one week after birth. Δ9-THC concentrations in breast milk and saliva and THC-COOH concentrations in urine were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Results: Among participants who remained abstinent during the first postpartum week, urinary THC-COOH concentrations progressively decreased but remained quantifiable across all study stages. In contrast, Δ9-THC concentrations in breast milk decreased over time and were below the limit of quantification (LOQ) one week postpartum. Salivary Δ9-THC concentrations were generally low and frequently below the LOQ. Breast milk Δ9-THC concentrations at the first sampling stage were significantly correlated with salivary Δ9-THC and urinary THC-COOH concentrations, whereas no significant correlations were observed at later stages. Conclusions: This preliminary study suggests that 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. In contrast, urinary THC-COOH remained quantifiable for a longer period. Salivary Δ9-THC showed limited concordance with breast milk Δ9-THC and should therefore be interpreted cautiously as a potential surrogate marker. Larger prospective studies are needed to confirm these findings and to support evidence-based breastfeeding counseling for women with recent cannabis use.

Indexed as

breastfeedingcannabisperinatalpostpartumpregnancy

Identifiers

PMID42454326
PMCPMC13365031

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.