Chuanwu(CW), a famous traditional Chinese medicine(TCM) from the mother roots of Aconitum carmichaelii Debx..(Ranunculaceae), has been used for the treatment of various diseases. Unfortunately, its toxicity is frequently reported because of its narrow therapeutic window. In the present study, a metabolomic method was performed to characterize the phenotypically biochemical perturbations and potential mechanisms of CW-induced toxicity. Meanwhile, the expression level of toxicity biomarkers in the urine were analyzed to evaluate the detoxification by combination with Gancao(Radix Glyeyrrhizae, CG), Baishao(Radix Paeoniae Alba, CS) and Ganjiang(Rhizoma Zingiberis, CJ), which were screened from classical TCM prescriptions. Urinary metabolomics was performed by UPLC-Q-TOF-HDMS, and the mass spectra signals of the detected metabolites were systematically analyzed using pattern recognition methods. As a result, seventeen biomarkers associated with CW toxicity were identified, which were associated with pentose and glucuronate interconversions, alanine, aspartate, and glutamate metabolism, among others. The expression levels of most toxicity biomarkers were effectively modulated towards the normal range by the compatibility drugs. It indicated that the three compatibility drugs could effectively detoxify CW. In summary, our work demonstrated that metabolomics was vitally significant to evaluation of toxicity and finding detoxification methods for TCM. Chuanwu (CW), a traditional traditional Chinese medicine (TCM) from the mother roots of Aconitum carmichaelii Debx .. (Ranunculaceae), has been used for the treatment of various diseases. Unfortunately, its toxicity is frequently reported because of its narrow therapeutic window . In the present study, a metabolomic method was performed to characterize the phenotypically biochemical perturbations and potential mechanisms of CW-induced toxicity. Meanwhile, the expression level of toxicity biomarkers in the urine were analyzed to evaluate the detoxification by combination with Gancao (Radix Glyeyrrhizae , CG), Baishao (Radix Paeoniae Alba, CS) and Ganjiang (Rhizoma Zingiberis, CJ) which were screened from classical TCM prescriptions. Urinary metabolomics was performed by UPLC-Q-TOF-HDMS, and the mass spectra signals of the detected metabolites were systematically analyzed using pattern recognition methods. As a result, seventeen biomarkers associated with CW toxicity were identified, which were assoc iated with pentose and glucuronate interconversions, alanine, aspartate, and glutamate metabolism, among others. The expression levels of most toxicity biomarkers were effectively modulated towards the normal range by the compatibility drugs. It indicated that the three concurrent reactions could effectively detoxify CW. In summary, our work demonstrated that metabolomics was vitally significant to evaluating of toxicity and finding detoxification methods for TCM.