Examining the role of reinforcing activities and time horizon in recovery: Commentary on Bickel, Witkiewitz, Athamneh, Kuhlemeier—“Recovery from alcohol use disorder: Reinforcer pathology theory, measurement, and methods”
{"title":"Examining the role of reinforcing activities and time horizon in recovery: Commentary on Bickel, Witkiewitz, Athamneh, Kuhlemeier—“Recovery from alcohol use disorder: Reinforcer pathology theory, measurement, and methods”","authors":"James R. McKay","doi":"10.1111/acer.15466","DOIUrl":null,"url":null,"abstract":"<p>The article by Bickel et al. (<span>2024</span>) makes a case for a new theory of recovery from alcohol and drug use disorders, referred to as “Reinforcer Pathology Theory,” or RP. Two of the central assertions of RP are that recovery is aided by (1) greater involvement in reinforcing alcohol- or drug-free activities, and (2) extending one's temporal window, so less delay discounting occurs (Bickel et al., <span>2017</span>). The authors provide a helpful and concise review of research findings that support the importance of these two factors in explaining how individuals reduce the use of alcohol and other drugs. However, they note that almost all the research has been correlational and focused specifically on substance use rather than recovery, which according to a new National Institute on Alcohol and Alcoholism (NIAAA) definition also includes improvements in psychosocial functioning and quality of life (Hagman et al., <span>2022</span>). The article looks at how RP theory may also apply to the concept of recovery, presents new data that is said to support the theory, and describes a new NIAAA-funded study that examines predictors and correlates of recovery over 12 years with a novel, accelerated longitudinal design.</p><p>The theoretical basis behind RP is convincing. The theory matches up well with research findings on delay discounting and clinical observations regarding the importance to recovery of engagement in meaningful, rewarding activities, as well as the problems posed by too much of a continued preference for immediate rewards. There seems to be no obvious reason why prior research findings regarding delayed discounting focused on abstinence would not apply to the broader concept of recovery as well. However, given that many existing treatments devote at least some attention to increasing time spent in rewarding activities and addressing impulsivity and preference for immediate rewards (e.g., cognitive behavioral therapy [CBT], community reinforcement approach, and Alcoholics Anonymous [AA]), I am not sure that RP should be considered a new theory. Rather, it seems more a repackaging of ideas about important factors in addiction and recovery that have been with us for a while now, but perhaps have not been put together in this manner before.</p><p>To provide support for RP, the authors present new analyses from Project MATCH (Project MATCH Research Group, <span>1997</span>), which demonstrate that more alcohol-free activities and higher reinforcing value of alcohol-free activities assessed 6 months after the end of treatment are associated with a greater likelihood of being in recovery about 2 years later. They also present a new 5-year study that makes use of a novel, accelerated longitudinal design to be able to examine predictors of recovery over a 12-year period. These sections of the article are fascinating, and I eagerly look forward to seeing the results of the new study. To their credit, the authors are also clear about the limitations of these new Project MATCH analyses and of the new study. These include an older data set, limited numbers of women and people of color, correlational analyses, and lack of more frequent assessments of rewarding activities (Project MATCH); and not knowing to what extent the sample will be broadly representative of individuals in recovery, the need for participants to have internet access, and reliance on remotely administered assessments and surveys without biological confirmation of alcohol use (new NIAAA R01). Although the authors do not list this as a limitation, the design of the new accelerated longitudinal study really only allows for correlational analyses as there are no experimental manipulations, if I'm understanding it correctly.</p><p>In my heart of hearts, I strongly believe that we need to devote more attention and effort toward finding ways to increase the time that individuals seeking recovery spend in rewarding activities, which motivated me to write a position piece on this a few years ago (McKay, <span>2017</span>). Our current evidence-based treatments are more focused on getting rid of problematic behaviors and cognitions than on increasing activities that make life more enjoyable and meaningful, which may render them less compelling to some of those who could conceivably benefit from them. And it is hard to argue with the notion that lengthening the time horizon to reduce delay discounting helps with therapeutic efforts to shift patients' focus toward lower intensity, less predictable rewarding experiences that require a great deal of effort, such as enhancing relationships, developing hobbies, and following other passions. However, I'm concerned that correlational designs, even when innovative, will not truly nail down whether the relation between changes in rewarding activities and delay discounting and subsequent changes in substance use/recovery status is in fact causal. To do that, we need experimental designs. One such design might randomize participants to two or more levels of rewarding activities, to test whether being in the condition that provided more rewarding activities produced higher rates of recovery. This approach, however, would not be feasible with delay discounting, as it is not really possible to randomize individuals to do more versus less of this.</p><p>A second approach would instead randomize participants to treatment as usual or to one or more interventions designed to increase the frequency of rewarding activities and/or reduce delay discounting. There is already a very successful demonstration of the power of this sort of design in alcohol use disorder treatment research. For years, it was difficult if not impossible to conduct a random assignment, controlled study of AA-oriented treatments. However, the investigators who conducted NIAAA's Project MATCH came up with the idea to develop and test an intervention focused specifically on getting participants to go to AA meetings and become more involved in the program (e.g., talking at meetings, getting a sponsor, working the steps, and getting together with others in the program outside of the meetings). The intervention was referred to as Twelve-Step Facilitation (TSF) (Nowinski et al., <span>1992</span>). Analysis of the Project MATCH data indicated that it was at least as effective in reducing drinking frequency as CBT or MET and was superior when the outcome was total abstinence (Project MATCH Research Group, <span>1997</span>, <span>1998</span>). Mediation analyses indicated that TSF resulted in higher levels of AA affiliation and this led to better outcomes in TSF for those with social supports that encouraged drinking (Longabaugh et al., <span>2001</span>). Further analyses examined potential mediators of the superior outcomes on absolute abstinence for TSF as compared to MET and CBT. TST produced higher scores on commitment to AA practices than either MET or CBT, and commitment to AA practices mediated, or accounted for, the observed differential outcomes (Longabaugh et al., <span>2005</span>). Therefore, these analyses demonstrated that TSF accomplished its goal of getting patients more involved in AA and that this is what accounted for its beneficial effects.</p><p>Mark Litt and colleagues at the University of Connecticut broadened the goal of TSF to also include other rewarding activities outside of mutual help. This new intervention, referred to as Network Support (NS), was evaluated in two RCTs in which it was compared with case management (Litt et al., <span>2007</span>, <span>2009</span>) and CBT (Litt et al., <span>2016</span>). In both studies, NS produced better alcohol use outcomes than the comparator conditions, as well as higher rates of participation in AA and a greater proportion of nondrinkers in the social network. Further analyses in both studies indicated that the positive effect of NS on alcohol use outcomes was mediated by pre- to posttreatment increases in self-efficacy and social network variables and attendance at AA.</p><p>It should be noted that getting people to participate more in AA may be an easier lift than increasing time spent in other rewarding activities. Individuals may need a fair amount of help in figuring out the activities or experiences that will be rewarding for them, these activities and experiences must be readily available, and the resources to access them need to be obtained somehow. The field of leisure science has devoted considerable effort to developing and testing interventions designed to increase time spent in these sorts of activities (Fancourt et al., <span>2021</span>; Iwasaki, <span>2017</span>). This may be a good source of ideas and potential collaborators for addiction treatment researchers interested in developing interventions to increase time spent in rewarding activities.</p><p>The authors mention only one approach to extending temporal windows, episodic future thinking. Good therapy for externalizing adolescents and young adults usually includes some efforts to increase willingness to work for more distal goals and rewards, to counteract the overvaluing of immediate rewards. However, this is slow work that requires skilled psychotherapists and a lot of sessions. There clearly is a need for more efficient, low-cost interventions that reduce delay discounting. In the VA's nationwide rollout of CM (DePhilippis et al., <span>2023</span>), we have observed anecdotally that many Vets decide to hang on to their rewards to save up for more expensive items, rather than cash them in at every session. Although this likely reflects pretreatment individual differences in delay discounting, it could also be an indication that the Veterans' time horizons have been expanded. We unfortunately do not have the data in VA to test whether saving up rewards predicts better outcomes. Three other studies have examined this issue and have come to differing conclusions (Fletcher et al., <span>2014</span>; Krishnamurti et al., <span>2020</span>; Murtaugh et al., <span>2013</span>). But it does raise intriguing questions about whether simply knowing that you've earned a reward makes it easier to “save” it for a later day, thereby stretching your time horizon.</p><p>The author reports no conflicts of interest.</p>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"48 12","pages":"2246-2248"},"PeriodicalIF":3.0000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11629441/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alcohol (Hanover, York County, Pa.)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/acer.15466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SUBSTANCE ABUSE","Score":null,"Total":0}
引用次数: 0
Abstract
The article by Bickel et al. (2024) makes a case for a new theory of recovery from alcohol and drug use disorders, referred to as “Reinforcer Pathology Theory,” or RP. Two of the central assertions of RP are that recovery is aided by (1) greater involvement in reinforcing alcohol- or drug-free activities, and (2) extending one's temporal window, so less delay discounting occurs (Bickel et al., 2017). The authors provide a helpful and concise review of research findings that support the importance of these two factors in explaining how individuals reduce the use of alcohol and other drugs. However, they note that almost all the research has been correlational and focused specifically on substance use rather than recovery, which according to a new National Institute on Alcohol and Alcoholism (NIAAA) definition also includes improvements in psychosocial functioning and quality of life (Hagman et al., 2022). The article looks at how RP theory may also apply to the concept of recovery, presents new data that is said to support the theory, and describes a new NIAAA-funded study that examines predictors and correlates of recovery over 12 years with a novel, accelerated longitudinal design.
The theoretical basis behind RP is convincing. The theory matches up well with research findings on delay discounting and clinical observations regarding the importance to recovery of engagement in meaningful, rewarding activities, as well as the problems posed by too much of a continued preference for immediate rewards. There seems to be no obvious reason why prior research findings regarding delayed discounting focused on abstinence would not apply to the broader concept of recovery as well. However, given that many existing treatments devote at least some attention to increasing time spent in rewarding activities and addressing impulsivity and preference for immediate rewards (e.g., cognitive behavioral therapy [CBT], community reinforcement approach, and Alcoholics Anonymous [AA]), I am not sure that RP should be considered a new theory. Rather, it seems more a repackaging of ideas about important factors in addiction and recovery that have been with us for a while now, but perhaps have not been put together in this manner before.
To provide support for RP, the authors present new analyses from Project MATCH (Project MATCH Research Group, 1997), which demonstrate that more alcohol-free activities and higher reinforcing value of alcohol-free activities assessed 6 months after the end of treatment are associated with a greater likelihood of being in recovery about 2 years later. They also present a new 5-year study that makes use of a novel, accelerated longitudinal design to be able to examine predictors of recovery over a 12-year period. These sections of the article are fascinating, and I eagerly look forward to seeing the results of the new study. To their credit, the authors are also clear about the limitations of these new Project MATCH analyses and of the new study. These include an older data set, limited numbers of women and people of color, correlational analyses, and lack of more frequent assessments of rewarding activities (Project MATCH); and not knowing to what extent the sample will be broadly representative of individuals in recovery, the need for participants to have internet access, and reliance on remotely administered assessments and surveys without biological confirmation of alcohol use (new NIAAA R01). Although the authors do not list this as a limitation, the design of the new accelerated longitudinal study really only allows for correlational analyses as there are no experimental manipulations, if I'm understanding it correctly.
In my heart of hearts, I strongly believe that we need to devote more attention and effort toward finding ways to increase the time that individuals seeking recovery spend in rewarding activities, which motivated me to write a position piece on this a few years ago (McKay, 2017). Our current evidence-based treatments are more focused on getting rid of problematic behaviors and cognitions than on increasing activities that make life more enjoyable and meaningful, which may render them less compelling to some of those who could conceivably benefit from them. And it is hard to argue with the notion that lengthening the time horizon to reduce delay discounting helps with therapeutic efforts to shift patients' focus toward lower intensity, less predictable rewarding experiences that require a great deal of effort, such as enhancing relationships, developing hobbies, and following other passions. However, I'm concerned that correlational designs, even when innovative, will not truly nail down whether the relation between changes in rewarding activities and delay discounting and subsequent changes in substance use/recovery status is in fact causal. To do that, we need experimental designs. One such design might randomize participants to two or more levels of rewarding activities, to test whether being in the condition that provided more rewarding activities produced higher rates of recovery. This approach, however, would not be feasible with delay discounting, as it is not really possible to randomize individuals to do more versus less of this.
A second approach would instead randomize participants to treatment as usual or to one or more interventions designed to increase the frequency of rewarding activities and/or reduce delay discounting. There is already a very successful demonstration of the power of this sort of design in alcohol use disorder treatment research. For years, it was difficult if not impossible to conduct a random assignment, controlled study of AA-oriented treatments. However, the investigators who conducted NIAAA's Project MATCH came up with the idea to develop and test an intervention focused specifically on getting participants to go to AA meetings and become more involved in the program (e.g., talking at meetings, getting a sponsor, working the steps, and getting together with others in the program outside of the meetings). The intervention was referred to as Twelve-Step Facilitation (TSF) (Nowinski et al., 1992). Analysis of the Project MATCH data indicated that it was at least as effective in reducing drinking frequency as CBT or MET and was superior when the outcome was total abstinence (Project MATCH Research Group, 1997, 1998). Mediation analyses indicated that TSF resulted in higher levels of AA affiliation and this led to better outcomes in TSF for those with social supports that encouraged drinking (Longabaugh et al., 2001). Further analyses examined potential mediators of the superior outcomes on absolute abstinence for TSF as compared to MET and CBT. TST produced higher scores on commitment to AA practices than either MET or CBT, and commitment to AA practices mediated, or accounted for, the observed differential outcomes (Longabaugh et al., 2005). Therefore, these analyses demonstrated that TSF accomplished its goal of getting patients more involved in AA and that this is what accounted for its beneficial effects.
Mark Litt and colleagues at the University of Connecticut broadened the goal of TSF to also include other rewarding activities outside of mutual help. This new intervention, referred to as Network Support (NS), was evaluated in two RCTs in which it was compared with case management (Litt et al., 2007, 2009) and CBT (Litt et al., 2016). In both studies, NS produced better alcohol use outcomes than the comparator conditions, as well as higher rates of participation in AA and a greater proportion of nondrinkers in the social network. Further analyses in both studies indicated that the positive effect of NS on alcohol use outcomes was mediated by pre- to posttreatment increases in self-efficacy and social network variables and attendance at AA.
It should be noted that getting people to participate more in AA may be an easier lift than increasing time spent in other rewarding activities. Individuals may need a fair amount of help in figuring out the activities or experiences that will be rewarding for them, these activities and experiences must be readily available, and the resources to access them need to be obtained somehow. The field of leisure science has devoted considerable effort to developing and testing interventions designed to increase time spent in these sorts of activities (Fancourt et al., 2021; Iwasaki, 2017). This may be a good source of ideas and potential collaborators for addiction treatment researchers interested in developing interventions to increase time spent in rewarding activities.
The authors mention only one approach to extending temporal windows, episodic future thinking. Good therapy for externalizing adolescents and young adults usually includes some efforts to increase willingness to work for more distal goals and rewards, to counteract the overvaluing of immediate rewards. However, this is slow work that requires skilled psychotherapists and a lot of sessions. There clearly is a need for more efficient, low-cost interventions that reduce delay discounting. In the VA's nationwide rollout of CM (DePhilippis et al., 2023), we have observed anecdotally that many Vets decide to hang on to their rewards to save up for more expensive items, rather than cash them in at every session. Although this likely reflects pretreatment individual differences in delay discounting, it could also be an indication that the Veterans' time horizons have been expanded. We unfortunately do not have the data in VA to test whether saving up rewards predicts better outcomes. Three other studies have examined this issue and have come to differing conclusions (Fletcher et al., 2014; Krishnamurti et al., 2020; Murtaugh et al., 2013). But it does raise intriguing questions about whether simply knowing that you've earned a reward makes it easier to “save” it for a later day, thereby stretching your time horizon.
Bickel等人(2024)的文章提出了一种从酒精和药物使用障碍中恢复的新理论,称为“强化病理学理论”,或RP。RP的两个核心主张是:(1)更多地参与加强酒精或毒品活动,以及(2)延长一个人的时间窗口,因此更少的延迟折扣发生(Bickel等人,2017)。作者对研究结果进行了有益而简明的回顾,这些研究结果支持这两个因素在解释个人如何减少酒精和其他药物使用方面的重要性。然而,他们注意到,几乎所有的研究都是相关的,并且专门关注药物使用而不是康复,根据国家酒精和酒精中毒研究所(NIAAA)的新定义,康复还包括社会心理功能和生活质量的改善(Hagman等人,2022)。这篇文章着眼于RP理论如何应用于恢复的概念,提出了据称支持该理论的新数据,并描述了一项新的niaaa资助的研究,该研究通过一种新颖的加速纵向设计,检验了12年来恢复的预测因素和相关性。RP背后的理论基础是令人信服的。这一理论与延迟折扣的研究结果和临床观察相吻合,这些研究结果表明,在有意义的、有回报的活动中恢复参与的重要性,以及对即时奖励的持续偏好所带来的问题。似乎没有明显的理由表明,为什么先前关于延迟折扣的研究结果集中在禁欲上,而不适用于更广泛的康复概念。然而,鉴于许多现有的治疗方法至少在一定程度上关注于增加奖励活动的时间,以及解决冲动和对即时奖励的偏好(例如,认知行为疗法[CBT]、社区强化方法和匿名戒酒会[AA]),我不确定RP是否应该被视为一种新理论。更确切地说,这似乎是对成瘾和康复中重要因素的重新包装,这些观点已经存在了一段时间,但以前可能没有以这种方式放在一起。为了对RP提供支持,作者提出了来自Project MATCH (Project MATCH研究组,1997)的新分析,该分析表明,在治疗结束6个月后,更多的无酒精活动和更高的无酒精活动强化值与大约2年后更大的康复可能性相关。他们还提出了一项新的为期5年的研究,该研究利用了一种新颖的加速纵向设计,能够检查12年期间恢复的预测因素。这篇文章的这些部分很吸引人,我急切地期待着看到这项新研究的结果。值得赞扬的是,作者也清楚这些新的项目匹配分析和新研究的局限性。这些问题包括较旧的数据集,有限的女性和有色人种数量,相关性分析,以及缺乏更频繁的奖励活动评估(项目MATCH);不知道样本在多大程度上能广泛代表康复中的个体,参与者需要上网,依赖远程管理的评估和调查,而没有酒精使用的生物学证实(新NIAAA R01)。虽然作者没有把这列为限制,但如果我理解正确的话,新的加速纵向研究的设计确实只允许进行相关分析,因为没有实验操作。在我内心深处,我坚信我们需要投入更多的注意力和精力来寻找方法来增加寻求恢复的个人在奖励活动上花费的时间,这促使我在几年前写了一篇关于这方面的文章(麦凯,2017)。我们目前的循证治疗更侧重于摆脱有问题的行为和认知,而不是增加使生活更愉快和有意义的活动,这可能会使它们对一些本来可以从中受益的人不那么有吸引力。延长时间范围以减少延迟折扣有助于将患者的注意力转移到需要大量努力的低强度、不太可预测的有益体验上,比如增进关系、培养爱好和追随其他激情,这一点很难反驳。然而,我担心相关设计,即使是创新的,也不能真正确定奖励活动和延迟折扣的变化与物质使用/恢复状态的后续变化之间的关系是否实际上是因果关系。要做到这一点,我们需要实验设计。 一种这样的设计可能会将参与者随机分配到两个或两个以上的奖励活动中,以测试在提供更多奖励活动的情况下是否会产生更高的恢复率。然而,这种方法在延迟折扣中是不可行的,因为不可能随机分配个体做更多或更少的事情。第二种方法是将参与者随机分配到常规治疗或一种或多种干预措施中,旨在增加奖励活动的频率和/或减少延迟折扣。在酒精使用障碍治疗研究中,已经有一个非常成功的例子证明了这种设计的力量。多年来,即使不是不可能,也很难对aa导向的治疗方法进行随机分配的对照研究。然而,执行NIAAA项目MATCH的调查人员提出了一个想法,即开发和测试一种干预措施,其重点是让参与者参加AA会议,并更多地参与到该项目中来(例如,在会议上发言,找到赞助商,按步骤工作,以及在会议之外与项目中的其他人聚在一起)。这种干预被称为十二步促进(TSF) (Nowinski et al., 1992)。对MATCH项目数据的分析表明,它在减少饮酒频率方面至少与CBT或MET一样有效,当结果是完全戒酒时,效果更佳(Project MATCH Research Group, 1997,1998)。中介分析表明,TSF导致更高水平的AA隶属关系,这导致那些有社会支持鼓励饮酒的人在TSF中获得更好的结果(Longabaugh等人,2001)。进一步的分析检查了与MET和CBT相比,TSF绝对戒断的优越结果的潜在中介。TST在AA实践承诺方面的得分高于MET或CBT,并且AA实践承诺介导或解释了观察到的差异结果(Longabaugh et al., 2005)。因此,这些分析表明,TSF实现了让患者更多地参与AA的目标,这就是其有益效果的原因。康涅狄格大学(University of Connecticut)的马克·利特(Mark Litt)及其同事将TSF的目标扩大到互助之外的其他有益活动。这种被称为网络支持(NS)的新干预措施在两项随机对照试验中进行了评估,并将其与病例管理(Litt et al., 2007, 2009)和CBT (Litt et al., 2016)进行了比较。在这两项研究中,与比较条件相比,NS产生了更好的酒精使用结果,并且参加AA的比例更高,社交网络中不饮酒者的比例也更大。两项研究的进一步分析表明,NS对酒精使用结果的积极影响是通过治疗前到治疗后自我效能感和社会网络变量以及参加AA的增加来介导的。值得注意的是,让人们更多地参与嗜酒者互戒会可能比增加花在其他有益活动上的时间更容易提升。个人可能需要相当多的帮助来确定对他们有益的活动或经历,这些活动和经历必须随时可用,并且需要以某种方式获得访问它们的资源。休闲科学领域已经投入了相当多的精力来开发和测试旨在增加在这类活动中花费的时间的干预措施(Fancourt等人,2021;Iwasaki, 2017)。这可能是一个很好的想法来源和潜在的合作者,成瘾治疗研究人员有兴趣开发干预措施,以增加花在奖励活动上的时间。作者只提到了一种延长时间窗口的方法,即情景未来思维。对外化的青少年和年轻人的良好治疗通常包括一些努力,以增加他们为更远的目标和奖励而工作的意愿,以抵消对眼前奖励的高估。然而,这是一项缓慢的工作,需要熟练的心理治疗师和大量的会议。显然,需要更有效、成本更低的干预措施来减少延误折扣。在VA全国范围内推出的CM中(DePhilippis et al., 2023),我们观察到许多老兵决定保留他们的奖励,以节省购买更昂贵的物品,而不是在每次会议上兑现。虽然这可能反映了延迟折扣的预处理个体差异,但它也可能表明退伍军人的时间范围已经扩大。不幸的是,我们没有VA的数据来测试储蓄奖励是否预示着更好的结果。其他三项研究也对这一问题进行了调查,并得出了不同的结论(Fletcher et al., 2014;Krishnamurti et al., 2020;Murtaugh et al., 2013)。 但它确实提出了一个有趣的问题:仅仅知道自己获得了奖励,是否会让你更容易将其“保存”到以后,从而延长你的时间范围。作者报告无利益冲突。