Innovative Analytical Platforms in Forensic Toxicology and Pharmacology: Integrating Metabolomics with Other Techniques

The integration of metabolomics with other advanced analytical techniques represents a significant breakthrough in the field of forensic toxicology and pharmacology, enabling more accurate and comprehensive investigations into poisoning and substance abuse.
This special issue explores the innovative use of multi-omics approaches, combining metabolomics with technologies such as genomics, proteomics, lipidomics, and advanced mass spectrometry methods. By leveraging the strengths of each platform, these integrated methodologies provide a deeper understanding of the biochemical changes occurring in response to toxins, drugs, and poisons in biological systems. The issue highlights how these approaches can improve the detection of trace toxins, identify novel biomarkers, and provide insight into complex toxicological mechanisms, including the effects of polypharmacy and interactions between different chemical agents. Additionally, the application of machine learning and artificial intelligence to multi-omics data analysis in forensic toxicology and pharmacology is discussed, demonstrating the potential for faster, more accurate interpretation of complex datasets. With contributions from leading experts, this collection offers both theoretical insights and practical applications of these cutting-edge technologies, aiming to shape the future of forensic toxicology and pharmacology and enhance the accuracy and efficiency of forensic investigations.

Areas of interest include, but are not limited to, the following:

• Identification of toxicological biomarkers and validation

• Advanced techniques in analytical toxicology

• Innovative use of multiomics approaches in forensic toxicology and pharmacology

• Biochemical changes occurring in response to toxins, drugs, poisons in biological systems

• Effects polypharmacy and interactions between different chemical agents

• Integrated approaches combining lifestyle interventions with pharmacological treatments

• Application of machine learning and artificial intelligence in forensic data analysis and pharmacological data analysis



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• Brief Research Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
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Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy Brief
• Review
• Technology and Code

Keywords: Forensic Metabolomics, Multi-Omics Integration, Analytical Toxicology, Biomarker Discovery, Mass Spectrometry, Artificial Intelligence in Toxicology, Pharmacological Profiling, Polypharmacy Interactions, Toxin Detection, Machine Learning Forensics

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.