S'abonner

Unsolved issues in hair testing - 03/03/25

Doi : 10.1016/j.toxac.2025.01.054 
Robert Kronstrand
 National Board of Forensic Medicine, Linköping, Sweden 

Résumé

Objective

To highlight issues still unsolved in hair analysis.

Introduction

This lecture delves into the incorporation of xenobiotics into hair, focusing on their interpretation in forensic and clinical toxicology. It addresses three pivotal questions central to hair analysis: (1) was a drug administered?, (2) how much drug was administered?, (3) when was the drug administered? These questions, while seemingly straightforward, reveal complexities due to possible external contamination, individual biological variability, and limitations in analytical methodologies.

Results and discussion

Determining whether a drug was truly administered or merely the result of external contamination is still a significant challenge in hair analysis. This lecture underscores the critical role of metabolites, which are formed exclusively through systemic metabolism, as markers to confirm drug intake. Such metabolites are absent in environmental sources of contamination, such as drug powders or plant material. However, some drugs, like cocaine, present unique challenges; the presence of primary metabolites like benzoylecgonine does not definitively rule out external contamination. To mitigate these issues, advanced metabolite profiling, including the detection of minor cocaine metabolites has been employed, although further research is required.

Estimating the amount of drug administered based on hair analysis remains elusive. While dose-to-concentration relationships are evident under controlled conditions, they are influenced by numerous factors, including hair pigmentation, individual metabolism, and drug properties. For example, melanin has a strong affinity for weakly basic drugs, such as amphetamines and cocaine, leading to higher drug concentrations in darker hair. Controlled studies with heroin and methamphetamine demonstrate dose-dependent increases in hair concentrations, yet the wide variability precludes dose estimations. Instead, hair concentrations may more effectively be used to categorize drug usage patterns into light, moderate, or heavy use. This approach, while less precise, provides valuable context in clinical and forensic settings. While these group-level patterns are informative, this lecture emphasizes that quantitative interpretations should always consider individual variability.

Segmental hair analysis offers temporal insights into drug administration by correlating drug incorporation with the hair growth cycle. However, an individual's hair growth rate is not known and a mean value of the hair growth rate is commonly used when performing and interpreting segmental hair analysis. Controlled studies involving single-dose administrations show that drugs can be detected in hair for months post-intake, with concentrations peaking in segments corresponding to the time of administration. However, the precision of timing decreases with longer intervals between drug intake and hair sampling due to diffusion and environmental influences and is also influenced by the segment length used. Although single-use scenarios pose great challenges, they can still provide approximate timelines when combined with knowledge of hair growth rates and segment lengths.

Conclusions

In conclusion, hair analysis is a robust method for investigating drug use, providing qualitative and, to some extent, quantitative insights into whether a drug was administered, the general magnitude of drug exposure, and the timing of use. However, limitations persist, including susceptibility to external contamination, inter-individual variability, and the inability to quantify precise doses or exact timing without supplementary evidence. By combining hair analysis with other investigative tools, toxicologists can achieve a comprehensive understanding of drug use patterns.

Le texte complet de cet article est disponible en PDF.

Plan


© 2025  Publié par Elsevier Masson SAS.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 37 - N° 1S

P. S37 - mars 2025 Retour au numéro
Article précédent Article précédent
  • How to interpret NPS findings in hair?
  • Alberto Salomone
| Article suivant Article suivant
  • External contamination of hair: Still a debate?
  • María del Mar Ramírez Fernández, Vincent Di Fazio, Sarah M.R. Wille

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Elsevier s'engage à rendre ses eBooks accessibles et à se conformer aux lois applicables. Compte tenu de notre vaste bibliothèque de titres, il existe des cas où rendre un livre électronique entièrement accessible présente des défis uniques et l'inclusion de fonctionnalités complètes pourrait transformer sa nature au point de ne plus servir son objectif principal ou d'entraîner un fardeau disproportionné pour l'éditeur. Par conséquent, l'accessibilité de cet eBook peut être limitée. Voir plus

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2026 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.