The role of psychological pain in the risk of suicide was explored using a three-dimensional psychological pain model (pain arousal, painful feelings, pain avoidance). The sample consisted of 111 outpatients with major depressive episodes, including 28 individuals with suicidal histories. They completed the Chinese version of the Beck Scale for Suicide Ideation (BSI), the Beck Depression Inventory (BDI), the Psychache Scale, and the three-dimensional Psychological Pain Scale (TDPPS). A structured clinical interview was conducted to assess the history of suicidal acts. Significant correlations were found among BDI, BSI, and TDPPS scores (p < .01). Stepwise regression analyses showed that only pain avoidance scores significantly predicted suicide ideation at one's worst point (β = .79, p < .001) and suicidal acts (β = .46, p < .001). Pain avoidance was also a better predictor of current suicidal ideation (β = .37, p = .001) than were BDI scores (β = .31, p < .01). Increased levels of pain avoidance during a major depressive episode may be a dominant component of the motivation for suicide. Future clinical assessments for populations at high risk of suicide should include measures of psychological pain to reduce the incidence of suicide.

The AID task was more sensitive than the MID task for the detection of participants' motivation in approaching hedonic experiences and avoiding pain. A suicidal mindset is manifested as decreased motivation to experience hedonia and increased motivation to avoid pain, which could be strong predictors of suicidal behavior.

Objective: In contrast to the drug situation in the rest of the world, synthetic drugs, rather than traditional drugs, have been the dominant abused drugs in China since 2019. However, the public misconception that synthetic drugs are not as addictive as traditional drugs, such as opioids and the scarcity of specific measurement instruments, have hindered the clinical diagnosis and treatment of synthetic drug abusers, thus the development of a localized instrument to evaluate dependence on synthetic drugs is in urgently needed.Method: Using a sample of 618 Chinese synthetic drug abusers (Mean age = 34.69 years; 44.17% female), the present study developed and examined the psychometric properties of a self-reporting instrument, the Synthetic Drug Dependence Scale (SDDS), which consists of four subscales: physical dependence, psychological dependence, health injury, and social function injury.Results: The SDDS revealed a three-factor model structure (weighted root mean square residual (WRMR) = 0.876, comparative fit index (CFI) = 0.965, Tucker–Lewis index (TLI) = 0.953, and Root mean square error of approximation (RMSEA) = 0.070), with good internal consistency (composite reliability = 0.912, alfa = 0.801) and convergent validity. Elevated scores on the SDDS were associated with a higher level of reward sensitivity, punishment sensitivity, and stronger impulsivity. Interestingly, psychological dependence was the only significant predictor (p &lt; 0.05) of criterion variables compared with the other three subscales, implying the important role of psychological factors in synthetic drugs dependence. Adequate measurement equivalence across sex, age (18–30 and 31–57 years old), and employment group (employed and unemployed) was also established.Conclusion: The SDDS appears to be an effective and reliable instrument that could be used to further investigate the characteristics of synthetic and traditional drug dependence, promoting a deeper understanding of the physical and psychological roles in drug dependence.