| Title . | Key focus . | Methods . | Findings . | Implications . | References . |
|---|---|---|---|---|---|
| Guidance for Canadian take-home naloxone programs: policy recommendations based on 11 yrs of community and scientific evidence | Policy recommendations for THN programs in Canada | Literature review, community input, expert consultation, AGREE II tool | Recommendations include both intramuscular and intranasal naloxone, with detailed kit contents. Rescuers should prioritise CPR | Provides policy direction for THN programs based on extensive evidence and stakeholder input | 44, 45 |
| Comparison of psychoactive substance concentrations in fatal and nonfatal opioid overdoses: a case–control study with naloxone correlation analysis in Norway | Comparison of substance concentrations in fatal vs. nonfatal opioid overdoses; naloxone correlation | Case–control study using blood samples and autopsy reports | Higher opioid and benzodiazepine levels in fatal cases; naloxone levels correlated with opioid concentrations | Highlights the role of substance concentration and naloxone administration in overdose outcomes | 44, 45 |
| Postmortem toxicology of antidepressants and antipsychotics: reference concentrations from fatal poisonings in Finland (2000 to 2020) | Reference concentrations of antidepressants and antipsychotics in fatal poisonings | Postmortem toxicology analysis of femoral blood samples from fatalities | Provides fatal concentration data for 17 antidepressants and 12 antipsychotics. Consistent data for interpretation | Offers reliable reference data for interpreting postmortem toxicology findings involving these drugs | 46, 47 |
| Fatal ropinirole intoxication: blood and urine concentrations from autopsy cases and postmortem redistribution insights | Toxicology of ropinirole in fatal cases; postmortem redistribution analysis | Analysis of blood and urine concentrations in autopsy cases | Elevated concentrations in the fatal case; postmortem redistribution noted. Fatality likely due to shock and arrhythmia | Provides insights into ropinirole toxicity and postmortem concentration changes | 46, 47 |
| Fatal DXM poisoning: autopsy findings and public health implications from two case reports | DXM toxicity and public health implications | Autopsy and toxicology analysis of two fatal DXM cases | High DXM levels in both cases; public awareness needed due to increased misuse and addiction | Emphasises the need for public education and regulation of DXM | 48, 49 |
| Comparing traditional risk assessment and biological monitoring: from external exposure to internal dose evaluation | Comparison of risk assessment methods: external exposure vs. internal dose | Analysis of traditional risk assessment and biological monitoring techniques | Biological monitoring offers a direct measure of internal exposure, complementing traditional methods | Highlights the importance of internal dose evaluation for accurate risk assessment | 50 |
| Standardised reporting and QSAR-based toxicity predictions: enhancing chemical risk assessment and resource management in cases of toxin and toxicant exposure | Importance of standardised reporting and QSAR in chemical risk assessment | Case definitions for toxin and toxicant exposure; use of QSAR models | Standardised reporting improves resource management; QSAR models aid in predicting toxicity | Supports improved chemical risk assessment through standardised reporting and QSAR models | 15–17, 52,53 |
| Leveraging QSAR models for chemical toxicity prediction: insights from the TEST | QSAR models for predicting chemical toxicity | Use of QSAR models and the TEST | Basic QSAR models predict toxicity based on chemical structure | Facilitates rapid chemical toxicity prediction using QSAR models | 15–17, 52,53 |
| Development and validation of QSTR models for predicting toxicity of imidazolium- and pyridinium-based ionic liquids: insights from in vivo and in silico studies | Toxicity prediction of ionic liquids using QSTR models | Development and validation of QSTR models; in vivo and in silico toxicity testing | Effective QSTR models for toxicity prediction; Daphnia magna assays showed higher sensitivity than Danio rerio. | Demonstrates the effectiveness of QSTR models for ionic liquid toxicity prediction | 15, 55 |
| Integrating adverse outcome pathways and advanced protein structural prediction tools for enhanced risk assessment of Atrazine-induced reproductive toxicity | Integration of AOPs and protein structural prediction for risk assessment | Use of AOPs and protein structural prediction tools; in silico analyses | Identifies key events and proteins involved in atrazine-induced reproductive toxicity | Enhances risk assessment by integrating AOPs with advanced protein structural prediction tools | 56 |
| Advancing chemical susceptibility predictions across species through protein structural integration and molecular docking in next-generation risk assessment | Improved predictions of chemical susceptibility using protein structural data | Integration of protein structures with molecular docking; application in risk assessment | Novel approach improves species-specific chemical susceptibility predictions | Supports next-generation risk assessment by integrating structural data and molecular docking | 57 |
| Optimising experimental design in toxicogenomics: the impact of sequencing depth and biological replication on differential gene expression and risk assessment | Impact of sequencing depth and replication in toxicogenomics | Analysis of RNA-seq data from A549 cells; varying sequencing depth and replicates | Replication has a greater impact on reproducibility than sequencing depth. More replicates improve data quality | Offers guidance on balancing sequencing depth and biological replication in toxicogenomics experiments | 58 |
| An ODE Model for endogenous H2O2 metabolism in hepatocytes: insights into oxidative stress, GSH depletion, and apoptosis dynamics | Modelling endogenous H2O2 metabolism and its effects on oxidative stress and apoptosis | Development of an ODE model for H2O2 metabolism in hepatocytes; simulations using in vitro data | GSH depletion triggers significant H2O2 rise and apoptosis; model provides insights into oxidative stress dynamics | Enhances understanding of oxidative stress and apoptosis through H2O2 metabolism modelling | 59 |
| Title . | Key focus . | Methods . | Findings . | Implications . | References . |
|---|---|---|---|---|---|
| Guidance for Canadian take-home naloxone programs: policy recommendations based on 11 yrs of community and scientific evidence | Policy recommendations for THN programs in Canada | Literature review, community input, expert consultation, AGREE II tool | Recommendations include both intramuscular and intranasal naloxone, with detailed kit contents. Rescuers should prioritise CPR | Provides policy direction for THN programs based on extensive evidence and stakeholder input | 44, 45 |
| Comparison of psychoactive substance concentrations in fatal and nonfatal opioid overdoses: a case–control study with naloxone correlation analysis in Norway | Comparison of substance concentrations in fatal vs. nonfatal opioid overdoses; naloxone correlation | Case–control study using blood samples and autopsy reports | Higher opioid and benzodiazepine levels in fatal cases; naloxone levels correlated with opioid concentrations | Highlights the role of substance concentration and naloxone administration in overdose outcomes | 44, 45 |
| Postmortem toxicology of antidepressants and antipsychotics: reference concentrations from fatal poisonings in Finland (2000 to 2020) | Reference concentrations of antidepressants and antipsychotics in fatal poisonings | Postmortem toxicology analysis of femoral blood samples from fatalities | Provides fatal concentration data for 17 antidepressants and 12 antipsychotics. Consistent data for interpretation | Offers reliable reference data for interpreting postmortem toxicology findings involving these drugs | 46, 47 |
| Fatal ropinirole intoxication: blood and urine concentrations from autopsy cases and postmortem redistribution insights | Toxicology of ropinirole in fatal cases; postmortem redistribution analysis | Analysis of blood and urine concentrations in autopsy cases | Elevated concentrations in the fatal case; postmortem redistribution noted. Fatality likely due to shock and arrhythmia | Provides insights into ropinirole toxicity and postmortem concentration changes | 46, 47 |
| Fatal DXM poisoning: autopsy findings and public health implications from two case reports | DXM toxicity and public health implications | Autopsy and toxicology analysis of two fatal DXM cases | High DXM levels in both cases; public awareness needed due to increased misuse and addiction | Emphasises the need for public education and regulation of DXM | 48, 49 |
| Comparing traditional risk assessment and biological monitoring: from external exposure to internal dose evaluation | Comparison of risk assessment methods: external exposure vs. internal dose | Analysis of traditional risk assessment and biological monitoring techniques | Biological monitoring offers a direct measure of internal exposure, complementing traditional methods | Highlights the importance of internal dose evaluation for accurate risk assessment | 50 |
| Standardised reporting and QSAR-based toxicity predictions: enhancing chemical risk assessment and resource management in cases of toxin and toxicant exposure | Importance of standardised reporting and QSAR in chemical risk assessment | Case definitions for toxin and toxicant exposure; use of QSAR models | Standardised reporting improves resource management; QSAR models aid in predicting toxicity | Supports improved chemical risk assessment through standardised reporting and QSAR models | 15–17, 52,53 |
| Leveraging QSAR models for chemical toxicity prediction: insights from the TEST | QSAR models for predicting chemical toxicity | Use of QSAR models and the TEST | Basic QSAR models predict toxicity based on chemical structure | Facilitates rapid chemical toxicity prediction using QSAR models | 15–17, 52,53 |
| Development and validation of QSTR models for predicting toxicity of imidazolium- and pyridinium-based ionic liquids: insights from in vivo and in silico studies | Toxicity prediction of ionic liquids using QSTR models | Development and validation of QSTR models; in vivo and in silico toxicity testing | Effective QSTR models for toxicity prediction; Daphnia magna assays showed higher sensitivity than Danio rerio. | Demonstrates the effectiveness of QSTR models for ionic liquid toxicity prediction | 15, 55 |
| Integrating adverse outcome pathways and advanced protein structural prediction tools for enhanced risk assessment of Atrazine-induced reproductive toxicity | Integration of AOPs and protein structural prediction for risk assessment | Use of AOPs and protein structural prediction tools; in silico analyses | Identifies key events and proteins involved in atrazine-induced reproductive toxicity | Enhances risk assessment by integrating AOPs with advanced protein structural prediction tools | 56 |
| Advancing chemical susceptibility predictions across species through protein structural integration and molecular docking in next-generation risk assessment | Improved predictions of chemical susceptibility using protein structural data | Integration of protein structures with molecular docking; application in risk assessment | Novel approach improves species-specific chemical susceptibility predictions | Supports next-generation risk assessment by integrating structural data and molecular docking | 57 |
| Optimising experimental design in toxicogenomics: the impact of sequencing depth and biological replication on differential gene expression and risk assessment | Impact of sequencing depth and replication in toxicogenomics | Analysis of RNA-seq data from A549 cells; varying sequencing depth and replicates | Replication has a greater impact on reproducibility than sequencing depth. More replicates improve data quality | Offers guidance on balancing sequencing depth and biological replication in toxicogenomics experiments | 58 |
| An ODE Model for endogenous H2O2 metabolism in hepatocytes: insights into oxidative stress, GSH depletion, and apoptosis dynamics | Modelling endogenous H2O2 metabolism and its effects on oxidative stress and apoptosis | Development of an ODE model for H2O2 metabolism in hepatocytes; simulations using in vitro data | GSH depletion triggers significant H2O2 rise and apoptosis; model provides insights into oxidative stress dynamics | Enhances understanding of oxidative stress and apoptosis through H2O2 metabolism modelling | 59 |
| Title . | Key focus . | Methods . | Findings . | Implications . | References . |
|---|---|---|---|---|---|
| Guidance for Canadian take-home naloxone programs: policy recommendations based on 11 yrs of community and scientific evidence | Policy recommendations for THN programs in Canada | Literature review, community input, expert consultation, AGREE II tool | Recommendations include both intramuscular and intranasal naloxone, with detailed kit contents. Rescuers should prioritise CPR | Provides policy direction for THN programs based on extensive evidence and stakeholder input | 44, 45 |
| Comparison of psychoactive substance concentrations in fatal and nonfatal opioid overdoses: a case–control study with naloxone correlation analysis in Norway | Comparison of substance concentrations in fatal vs. nonfatal opioid overdoses; naloxone correlation | Case–control study using blood samples and autopsy reports | Higher opioid and benzodiazepine levels in fatal cases; naloxone levels correlated with opioid concentrations | Highlights the role of substance concentration and naloxone administration in overdose outcomes | 44, 45 |
| Postmortem toxicology of antidepressants and antipsychotics: reference concentrations from fatal poisonings in Finland (2000 to 2020) | Reference concentrations of antidepressants and antipsychotics in fatal poisonings | Postmortem toxicology analysis of femoral blood samples from fatalities | Provides fatal concentration data for 17 antidepressants and 12 antipsychotics. Consistent data for interpretation | Offers reliable reference data for interpreting postmortem toxicology findings involving these drugs | 46, 47 |
| Fatal ropinirole intoxication: blood and urine concentrations from autopsy cases and postmortem redistribution insights | Toxicology of ropinirole in fatal cases; postmortem redistribution analysis | Analysis of blood and urine concentrations in autopsy cases | Elevated concentrations in the fatal case; postmortem redistribution noted. Fatality likely due to shock and arrhythmia | Provides insights into ropinirole toxicity and postmortem concentration changes | 46, 47 |
| Fatal DXM poisoning: autopsy findings and public health implications from two case reports | DXM toxicity and public health implications | Autopsy and toxicology analysis of two fatal DXM cases | High DXM levels in both cases; public awareness needed due to increased misuse and addiction | Emphasises the need for public education and regulation of DXM | 48, 49 |
| Comparing traditional risk assessment and biological monitoring: from external exposure to internal dose evaluation | Comparison of risk assessment methods: external exposure vs. internal dose | Analysis of traditional risk assessment and biological monitoring techniques | Biological monitoring offers a direct measure of internal exposure, complementing traditional methods | Highlights the importance of internal dose evaluation for accurate risk assessment | 50 |
| Standardised reporting and QSAR-based toxicity predictions: enhancing chemical risk assessment and resource management in cases of toxin and toxicant exposure | Importance of standardised reporting and QSAR in chemical risk assessment | Case definitions for toxin and toxicant exposure; use of QSAR models | Standardised reporting improves resource management; QSAR models aid in predicting toxicity | Supports improved chemical risk assessment through standardised reporting and QSAR models | 15–17, 52,53 |
| Leveraging QSAR models for chemical toxicity prediction: insights from the TEST | QSAR models for predicting chemical toxicity | Use of QSAR models and the TEST | Basic QSAR models predict toxicity based on chemical structure | Facilitates rapid chemical toxicity prediction using QSAR models | 15–17, 52,53 |
| Development and validation of QSTR models for predicting toxicity of imidazolium- and pyridinium-based ionic liquids: insights from in vivo and in silico studies | Toxicity prediction of ionic liquids using QSTR models | Development and validation of QSTR models; in vivo and in silico toxicity testing | Effective QSTR models for toxicity prediction; Daphnia magna assays showed higher sensitivity than Danio rerio. | Demonstrates the effectiveness of QSTR models for ionic liquid toxicity prediction | 15, 55 |
| Integrating adverse outcome pathways and advanced protein structural prediction tools for enhanced risk assessment of Atrazine-induced reproductive toxicity | Integration of AOPs and protein structural prediction for risk assessment | Use of AOPs and protein structural prediction tools; in silico analyses | Identifies key events and proteins involved in atrazine-induced reproductive toxicity | Enhances risk assessment by integrating AOPs with advanced protein structural prediction tools | 56 |
| Advancing chemical susceptibility predictions across species through protein structural integration and molecular docking in next-generation risk assessment | Improved predictions of chemical susceptibility using protein structural data | Integration of protein structures with molecular docking; application in risk assessment | Novel approach improves species-specific chemical susceptibility predictions | Supports next-generation risk assessment by integrating structural data and molecular docking | 57 |
| Optimising experimental design in toxicogenomics: the impact of sequencing depth and biological replication on differential gene expression and risk assessment | Impact of sequencing depth and replication in toxicogenomics | Analysis of RNA-seq data from A549 cells; varying sequencing depth and replicates | Replication has a greater impact on reproducibility than sequencing depth. More replicates improve data quality | Offers guidance on balancing sequencing depth and biological replication in toxicogenomics experiments | 58 |
| An ODE Model for endogenous H2O2 metabolism in hepatocytes: insights into oxidative stress, GSH depletion, and apoptosis dynamics | Modelling endogenous H2O2 metabolism and its effects on oxidative stress and apoptosis | Development of an ODE model for H2O2 metabolism in hepatocytes; simulations using in vitro data | GSH depletion triggers significant H2O2 rise and apoptosis; model provides insights into oxidative stress dynamics | Enhances understanding of oxidative stress and apoptosis through H2O2 metabolism modelling | 59 |
| Title . | Key focus . | Methods . | Findings . | Implications . | References . |
|---|---|---|---|---|---|
| Guidance for Canadian take-home naloxone programs: policy recommendations based on 11 yrs of community and scientific evidence | Policy recommendations for THN programs in Canada | Literature review, community input, expert consultation, AGREE II tool | Recommendations include both intramuscular and intranasal naloxone, with detailed kit contents. Rescuers should prioritise CPR | Provides policy direction for THN programs based on extensive evidence and stakeholder input | 44, 45 |
| Comparison of psychoactive substance concentrations in fatal and nonfatal opioid overdoses: a case–control study with naloxone correlation analysis in Norway | Comparison of substance concentrations in fatal vs. nonfatal opioid overdoses; naloxone correlation | Case–control study using blood samples and autopsy reports | Higher opioid and benzodiazepine levels in fatal cases; naloxone levels correlated with opioid concentrations | Highlights the role of substance concentration and naloxone administration in overdose outcomes | 44, 45 |
| Postmortem toxicology of antidepressants and antipsychotics: reference concentrations from fatal poisonings in Finland (2000 to 2020) | Reference concentrations of antidepressants and antipsychotics in fatal poisonings | Postmortem toxicology analysis of femoral blood samples from fatalities | Provides fatal concentration data for 17 antidepressants and 12 antipsychotics. Consistent data for interpretation | Offers reliable reference data for interpreting postmortem toxicology findings involving these drugs | 46, 47 |
| Fatal ropinirole intoxication: blood and urine concentrations from autopsy cases and postmortem redistribution insights | Toxicology of ropinirole in fatal cases; postmortem redistribution analysis | Analysis of blood and urine concentrations in autopsy cases | Elevated concentrations in the fatal case; postmortem redistribution noted. Fatality likely due to shock and arrhythmia | Provides insights into ropinirole toxicity and postmortem concentration changes | 46, 47 |
| Fatal DXM poisoning: autopsy findings and public health implications from two case reports | DXM toxicity and public health implications | Autopsy and toxicology analysis of two fatal DXM cases | High DXM levels in both cases; public awareness needed due to increased misuse and addiction | Emphasises the need for public education and regulation of DXM | 48, 49 |
| Comparing traditional risk assessment and biological monitoring: from external exposure to internal dose evaluation | Comparison of risk assessment methods: external exposure vs. internal dose | Analysis of traditional risk assessment and biological monitoring techniques | Biological monitoring offers a direct measure of internal exposure, complementing traditional methods | Highlights the importance of internal dose evaluation for accurate risk assessment | 50 |
| Standardised reporting and QSAR-based toxicity predictions: enhancing chemical risk assessment and resource management in cases of toxin and toxicant exposure | Importance of standardised reporting and QSAR in chemical risk assessment | Case definitions for toxin and toxicant exposure; use of QSAR models | Standardised reporting improves resource management; QSAR models aid in predicting toxicity | Supports improved chemical risk assessment through standardised reporting and QSAR models | 15–17, 52,53 |
| Leveraging QSAR models for chemical toxicity prediction: insights from the TEST | QSAR models for predicting chemical toxicity | Use of QSAR models and the TEST | Basic QSAR models predict toxicity based on chemical structure | Facilitates rapid chemical toxicity prediction using QSAR models | 15–17, 52,53 |
| Development and validation of QSTR models for predicting toxicity of imidazolium- and pyridinium-based ionic liquids: insights from in vivo and in silico studies | Toxicity prediction of ionic liquids using QSTR models | Development and validation of QSTR models; in vivo and in silico toxicity testing | Effective QSTR models for toxicity prediction; Daphnia magna assays showed higher sensitivity than Danio rerio. | Demonstrates the effectiveness of QSTR models for ionic liquid toxicity prediction | 15, 55 |
| Integrating adverse outcome pathways and advanced protein structural prediction tools for enhanced risk assessment of Atrazine-induced reproductive toxicity | Integration of AOPs and protein structural prediction for risk assessment | Use of AOPs and protein structural prediction tools; in silico analyses | Identifies key events and proteins involved in atrazine-induced reproductive toxicity | Enhances risk assessment by integrating AOPs with advanced protein structural prediction tools | 56 |
| Advancing chemical susceptibility predictions across species through protein structural integration and molecular docking in next-generation risk assessment | Improved predictions of chemical susceptibility using protein structural data | Integration of protein structures with molecular docking; application in risk assessment | Novel approach improves species-specific chemical susceptibility predictions | Supports next-generation risk assessment by integrating structural data and molecular docking | 57 |
| Optimising experimental design in toxicogenomics: the impact of sequencing depth and biological replication on differential gene expression and risk assessment | Impact of sequencing depth and replication in toxicogenomics | Analysis of RNA-seq data from A549 cells; varying sequencing depth and replicates | Replication has a greater impact on reproducibility than sequencing depth. More replicates improve data quality | Offers guidance on balancing sequencing depth and biological replication in toxicogenomics experiments | 58 |
| An ODE Model for endogenous H2O2 metabolism in hepatocytes: insights into oxidative stress, GSH depletion, and apoptosis dynamics | Modelling endogenous H2O2 metabolism and its effects on oxidative stress and apoptosis | Development of an ODE model for H2O2 metabolism in hepatocytes; simulations using in vitro data | GSH depletion triggers significant H2O2 rise and apoptosis; model provides insights into oxidative stress dynamics | Enhances understanding of oxidative stress and apoptosis through H2O2 metabolism modelling | 59 |
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