Evidence map›Paper›PMID 41599263›Full record

ArticleMolecules (Basel, Switzerland)2026

Psychedelic Drugs Rediscovered-In Silico Study of Potential Fetal Exposure to Analogues of Psychedelic Drugs During Pregnancy.

Anna W Sobańska, Andrzej M Sobański, Elżbieta Brzezińska

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anna W SobańskaDepartment of Analytical Chemistry, Medical University of Lodz, 90-151 Łódź, Poland.ORCID 0000-0002-1846-9240
Andrzej M SobańskiFaculty of Chemistry, University of Lodz, 91-403 Łódź, Poland.ORCID 0009-0006-7544-365X
Elżbieta BrzezińskaDepartment of Analytical Chemistry, Medical University of Lodz, 90-151 Łódź, Poland.ORCID 0000-0003-1135-7147

Funding

Medical University of Lodz 503/3-016-03/503-31-001
6 · The paper itself

Abstract

A total of 250 known and novel compounds-ketamine and serotonergic psychedelics or their analogues-designed to target depression, addictions and/or other mental or neurological disorders and developed as "recreational" (illegal) drugs from three chemical families, ergolines, tryptamines and phenylethylamines, were investigated in the context of their ability to cross the human placenta. Using a novel multivariate model involving compounds' drug-likeness (according to Lipinski's Ro5), caco-2 membrane permeability, fraction unbound to plasma proteins, steady-state volume of distribution and the total count of heteroatoms (non-carbon atoms with hydrogens included), it was established that the majority of studied compounds are likely to cross the placenta easily, most probably by the passive diffusion mechanism. Atomic contributions of structural elements of studied compounds were investigated using the Morgan fingerprinting algorithm and it was postulated that the fragments promoting transport of compounds across the placenta are carbonyl, hydroxyl, nitro- and phosphoryloxy groups-rigid polycyclic structures, bulky alkyl/aryl groups and halogen atoms restrict the trans-placental passage. All studied compounds are expected to be relatively easily obtained by synthetic routes, which makes them an interesting target for manufacturers of illegal drugs and warrants the need to pursue pharmacological studies of these compounds in silico.

Indexed as

FetusHallucinogensCaco-2 CellsComputer SimulationFemaleHumansPlacentaPregnancyHallucinogensatomic contributionsdrug-likenessplacenta permeabilitypsychedelic drugsQSARsynthetic availability

Identifiers

PMID41599263
PMCPMC12843835

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.