Acta Psychologica Sinica ›› 2026, Vol. 58 ›› Issue (11): 2337-2354.doi: 10.3724/SP.J.1041.2026.2337
• Reports of Empirical Studies • Previous Articles Next Articles
XU Mengsi1,2, WU Shiyan1, XU Yanxi1, WANG Zhenhong1
Received:2025-09-01
Published:2026-11-25
Online:2026-09-11
XU Mengsi, WU Shiyan, XU Yanxi, WANG Zhenhong. (2026). Enhanced reactive inhibition but impaired intentional inhibition in individuals with heroin use disorder. Acta Psychologica Sinica, 58(11), 2337-2354.
| [1] Abdul Rahman A., Carroll D. J., Espy K. A., & Wiebe S. A. (2017). Neural correlates of response inhibition in early childhood: Evidence from a Go/No-Go task. [2] Bach P., Frischknecht U., Reinhard I., Bekier N., Demirakca T., Ende G., .. Hermann D. (2021). Impaired working memory performance in opioid-dependent patients is related to reduced insula gray matter volume: A voxel-based morphometric study. [3] Baumeister, R. F., & Nadal, A. C. (2017). Addiction: Motivation, action control, and habits of pleasure. [4] Bjork J. M., Keyser-Marcus L., Vassileva J., Ramey T., Houghton D. C., & Moeller F. G. (2022). Attentional function and inhibitory control in different substance use disorders. [5] Boudewyn M. A., Erickson M. A., Winsler K., Ragland J. D., Yonelinas A., Frank M., .. Luck S. J. (2023). Managing EEG studies: How to prepare and what to do once data collection has begun. [6] Brand M., Wegmann E., Stark R., Müller A., Wölfling K., Robbins T. W., & Potenza M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. [7] Bruyneel, S. D., & Dewitte, S. (2012). Engaging in self-regulation results in low-level construals. [8] Ceceli A. O., King S. G., McClain N., Alia-Klein N., & Goldstein R. Z. (2023). The neural signature of impaired inhibitory control in individuals with heroin use disorder. [9] Chen T., Zhong N., Du J., Li Z., Zhao Y., Sun H., .. Zhao M. (2019). Polydrug use patterns and their impact on relapse among heroin‐dependent patients in Shanghai, China. [10] Christensen E., Brydevall M., Albertella L., Samarawickrama S. K., Yücel M., & Lee, R. S. C. (2023). Neurocognitive predictors of addiction-related outcomes: A systematic review of longitudinal studies. [11] Dousset C., Chenut C., Kajosch H., Kornreich C., & Campanella S. (2022). Comparison of neural correlates of reactive inhibition in cocaine, heroin, and polydrug users through a contextual Go/No-Go task using event-related potentials. [12] Fascher M., Nowaczynski S., Spindler C., Strobach T., & Muehlhan M. (2024). Neural underpinnings of response inhibition in substance use disorders: Weak meta-analytic evidence for a widely used construct. [13] Faul F., Erdfelder E., Lang A.-G., & Buchner A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. [14] Ficarella, S. C., & Battelli, L. (2017). The critical role of the dorsal fronto-median cortex in voluntary action inhibition: A TMS study. [15] Filevich E., Kühn S., & Haggard P. (2012). Intentional inhibition in human action: The power of ‘no’. [16] Garavan H., Brennan K. L., Hester R., & Whelan R. (2013). The neurobiology of successful abstinence. [17] Hadar L., Trope Y., & Ben-David B. M. (2021). Aging impairs inhibitory control over incidental cues: A construal-level perspective. [18] He Q., Huang X., Turel O., Schulte M., Huang D., Thames A., .. Hser Y.-I. (2018). Presumed structural and functional neural recovery after long-term abstinence from cocaine in male military veterans. [19] Herman, A. M. (2023). Interoception within the context of impulsivity and addiction. [20] Huster R. J., Enriquez-Geppert S., Lavallee C. F., Falkenstein M., & Herrmann C. S. (2013). Electroencephalography of response inhibition tasks: Functional networks and cognitive contributions. [21] Joireman J., Shaffer M. J., Balliet D., & Strathman A. (2012). Promotion orientation explains why future-oriented people exercise and eat healthy: Evidence from the two-factor consideration of future consequences-14 scale. [22] Kang T., Zhang Y., Zhao J., Li X., Jiang H., Niu X., .. Yuan T.-F. (2024). Characterizing impulsivity in individuals with heroin use disorder. [23] Kemp, R. (2020). Addiction as temporal disruption: Interoception, self, meaning. [24] Lee A. Y., Keller P. A., & Sternthal B. (2010). Value from regulatory construal fit: The persuasive impact of fit between consumer goals and message concreteness. [25] Lipszyc, J., & Schachar, R. (2010). Inhibitory control and psychopathology: A meta-analysis of studies using the stop signal task. [26] Liu W., Tian Y., Yan X., & Yang J. (2021). Impulse inhibition ability with methamphetamine dependents varies at different abstinence stages. [27] Liu Y., van den Wildenberg, W. P. M., de Graaf Y., Ames S. L., Baldacchino A., Bø R., .. Wiers R. W. (2019). Is (poly-) substance use associated with impaired inhibitory control? A mega-analysis controlling for confounders. [28] Luck S. J., Stewart A. X., Simmons A. M., & Rhemtulla M. (2021). Standardized measurement error: A universal metric of data quality for averaged event-related potentials. [29] Lynn M. T., Muhle-Karbe P. S., & Brass M. (2014). Controlling the self: The role of the dorsal frontomedian cortex in intentional inhibition. [30] Morie K. P., Garavan H., Bell R. P., De Sanctis P., Krakowski M. I., & Foxe J. J. (2014). Intact inhibitory control processes in abstinent drug abusers (II): A high-density electrical mapping study in former cocaine and heroin addicts. [31] Parkinson, J., & Haggard, P. (2015). Choosing to stop: Responses evoked by externally triggered and internally generated inhibition identify a neural mechanism of will. [32] Psederska, E., & Vassileva, J. (2023). Neurocognitive impulsivity in opiate users at different lengths of abstinence. [33] Rush C. R., Strickland J. C., Pike E., Studts C. R., & Stoops W. W. (2020). Inhibitory-control training for cocaine use disorder and contingency management for clinic attendance: A randomized pilot study of feasibility, acceptability and initial efficacy. [34] Schenkel E. J., Schöneck R., Wiers R. W., Veling H., Becker E. S., Lindenmeyer J., & Rinck M. (2023). Does selective inhibition training reduce relapse rates when added to standard treatment of alcohol use disorder? A randomized controlled trial. [35] Schmidt A., Walter M., & Borgwardt, S. (2016). Impaired cognition control and inferior frontal cortex modulation in heroin addiction. In V. R. Preedy (Ed.), Neuropathology of drug addictions and substance misuse: Volume 1: Foundations of understanding, tobacco, alcohol, cannabinoids, opioids and emerging addictions (pp. 1037-1047). Academic Press. [36] Smith, J. L. (2005). [37] Smith J. L., Mattick R. P., Jamadar S. D., & Iredale J. M. (2014). Deficits in behavioural inhibition in substance abuse and addiction: A meta-analysis. [38] Stevens L., Goudriaan A. E., Verdejo-Garcia A., Dom G., Roeyers H., & Vanderplasschen W. (2015). Impulsive choice predicts short-term relapse in substance-dependent individuals attending an in-patient detoxification programme. [39] Vallacher, R. R., & Wegner, D. M. (1989). Levels of personal agency: Individual variation in action identification. [40] van Beek J., Handgraaf M. J. J., & Antonides G. (2017). Time orientation and construal level: Effects on eating and exercising behaviour and preferences. [41] Verdejo-García A., Lubman D. I., Schwerk A., Roffel K., Vilar-López R., MacKenzie T., & Yücel M. (2012). Effect of craving induction on inhibitory control in opiate dependence. [42] Whelan, R. (2008). Effective analysis of reaction time data. [43] Wollman S. C., Hauson A. O., Hall M. G., Connors E. J., Allen K. E., Stern M. J., .. Flora-Tostado C. (2019). Neuropsychological functioning in opioid use disorder: A research synthesis and meta-analysis. [44] Xu M., Fan L., Li Z., Qi S., & Yang D. (2020). Neural signatures of reactive and intentional inhibitions: An ERP study. [45] Xu M., Wen J., Li Z., Wang Z., & Zhang J. (2024). Behavioral impulse and time pressure jointly influence intentional inhibition: Evidence from the Free Two-Choice Oddball task. [46] Xu M., Xu Y., Wen J., Sun Y., Lu D., & Li Z. (2024). The impact of construal level on behavioral inhibition: Evidences from behavioral and ERP studies. [47] Xu M. S., Li Z. A., Zhang J. H., & Wang Z. H. (2024). Temporal characteristics of the three stages of intentional inhibition. [徐梦思, 李志爱, 张俊华, 王振宏. (2024). 内生意图性抑制的三阶段时程动态特征. [48] Yang L. Z., Chen J. H., Wang S. X., Shen Y., & Sun Y. (2017). Intentional inhibition: A new approach to self-control. [杨丽珠, 陈靖涵, 王素霞, 沈悦, 孙岩. (2017). 内生意图性抑制:自我控制研究的新视角. [49] Yuan J., He Y., Zhang Q., Chen A., & Li H. (2008). Gender differences in behavioral inhibitory control: ERP evidence from a two-choice oddball task. [50] Yuan J., Xu M., Yang J., & Li H. (2017). The application of the two-choice oddball paradigm to the research of behavioral inhibitory control. [袁加锦, 徐萌萌, 杨洁敏, 李红. (2017). 双选择Oddball范式在行为抑制控制研究中的应用. [51] Zhang Y., Ou H., Yuan T.-F., & Sun J. (2021). Electrophysiological indexes for impaired response inhibition and salience attribution in substance (stimulants and depressants) use disorders: A meta-analysis. [52] Zheng Z. L., Wang P. F., Su D. Q., Guo W. J., Sun N., Ma Y. K., & Zeng H. (2020). Differences in brain reactivity in relation to different types of drug-associated cues and disinhibition among heroin addicts: An ERP study. [郑志灵, 王鹏飞, 苏得权, 郭伟杰, 孙楠, 麻彦坤, 曾红. (2020). 不同相关线索下海洛因成瘾者的反应差异及反应抑制特征:来自ERP的证据. [53] Zilverstand A.,& Goldstein, R. Z. (2020). Dual models of drug addiction: The impaired response inhibition and salience attribution model. In A. Verdejo-Garcia (Ed.), Cognition and addiction: A researcher’s guide from mechanisms towards interventions (pp. 17-23). Academic Press. |
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