Brain Change in Addiction as Learning, Not Disease

Insight in the Conspiracist's Mind

Academic AbstractThe motto of the conspiracist, "Do your own research," may seem ludicrous to scientists. Indeed, it is often dismissed as a mere rhetorical device that conspiracists use to give themselves the semblance of science. In this perspective paper, we explore the information-seeking activities ("research") that conspiracists do engage in. Drawing on the experimental psychology of aha experiences, we explain how these activities, as well as the epistemic experiences that precede (curiosity) or follow (insight or "aha" experiences) them, may play a crucial role in the appeal and development of conspiracy beliefs. Aha moments have properties that can be exploited by conspiracy theories, such as the potential for false but seemingly grounded conclusions. Finally, we hypothesize that the need for autonomous epistemic agency and discovery is universal but increases as people experience more uncertainty and/or feel epistemically excluded in society, hence linking it to existing literature on explaining conspiracy theories.

Are we just talking in circles? Impact of psychoeducation on disease knowledge and relapse in severe alcohol use disorder

BACKGROUND

Psychoeducation constitutes a routine therapeutic practice in most treatment settings for severe alcohol use disorder (sAUD). This technique is considered an efficient way to help patients to learn more about their disease and achieve therapeutic objectives. However, this approach capitalizes on three untested assumptions: namely, that (1) patients with sAUD possess insufficient knowledge about sAUD at treatment entry; (2) patients with sAUD have the cognitive resources to learn new information and benefit from psychoeducation; and (3) psychoeducation positively impacts clinical outcomes.

METHODS

We tested these assumptions in two experimental studies. In the first experiment in 66 recently detoxified patients with sAUD and 102 matched healthy controls, we measured baseline knowledge on sAUD through self-reported questionnaires, determined whether an up-to-date psychoeducation program can improve this knowledge, explored the role of cognitive abilities in such learning, and established the impact of psychoeducation on relapse rates. In a second experiment in 23 patients and 17 healthy controls, we examined whether the increased knowledge following psychoeducation is alcohol specific, and whether the motivation to change influences the relation between psychoeducation and clinical outcomes.

RESULTS

At treatment entry, patients with sAUD presented with more sAUD-related knowledge than healthy controls, and were able to increase this knowledge following psychoeducation, independently of their cognitive status. However, psychoeducation did not impact either the motivation to change or relapse rates.

CONCLUSIONS

Psychoeducation can increase patients' knowledge about sAUD, but it does not increase the likelihood of abstinence or controlled low consumption after discharge. Thus, clinicians should question whether psychoeducation should occupy a central position in the therapeutic programs and reconsider what can be expected from psychoeducation in terms of achieving therapeutic objectives.

Proposing an integrative, dynamic and transdiagnostic model for addictions: dysregulation phenomena of the three main modes of the predostatic mind

Several theories have been proposed to explain the complex diagnostic aspects related to addiction disorders and their development. Recent frameworks tend to focus on dimensional perspectives of symptoms rather than categorical systems, since substance use disorders are frequently comorbid with other psychiatric and especially personality disorders. However, useful transdiagnostic models that could integrate clinical evaluation derived from neuroscientific theories are lacking. In the present manuscript, the authors propose a model based on a new paradigm, in an attempt to better explain this complex, multifaceted phenomenon. The new paradigm presupposes that emotions and behavior are a response to risk prediction. Individuals make choices and engage in actions to manage potential risks/rewards in order to seek or maintain homeostasis in their internal and external environments - a mechanism that the authors call predostatic (predictive mechanism with homeostatic purpose). The model considers three main modes of the predostatic mind: (1) Alarm Mode, activated by high and/or imminent risk prediction; (2) Seek Mode, activated by long-term risk or reward prediction; and (3) Balance Mode, a self-regulating state of mind related to low risk prediction, a soothing system and a calm state. Addiction is seen as a chronic dysregulation of organism systems leading to internalizing or externalizing phenomena mainly related to the Seek and Alarm Modes, which are persistently activated by reward and risk prediction, respectively, thus hindering Balance. Addiction neuroscience research has shown that chronic drug use or engagement in addictive behaviors can lead to neuroadaptations in the brain reward circuitry, disrupting normal balance and the regulation of reward processes. This dysregulation can contribute to persistent drug-seeking/addictive behaviors despite negative consequences. This newly proposed dynamic and integrative model, named dysregulation based on externalizing and internalizing phenomena of the three main modes of the predostatic mind (DREXI3), proposes six dysregulation dimensions with basic emotional and behavioral symptoms, such as neurophysiological alterations, impulsivity, compulsion, cognitive impairment/psychosis, mood, and anxiety/anger. In this paper, the authors explain the rationale behind DREXI3 and present some hypothetical clinical examples to better illustrate the use of the model in clinical practice. The development of this innovative model could possibly guide tailored treatment interventions in the addiction field.

Operationalization and measurement of compulsivity across video gaming and gambling behavioral domains

BACKGROUND

Compulsivity is the hallmark of addiction progression and, as a construct, has played an important role in unveiling the etiological pathways from learning mechanisms underlying addictive behavior to harms resulting from it. However, a sound use of the compulsivity construct in the field of behavioral addictions has been hindered to date by the lack of consensus regarding its definition and measurement. Here we capitalize on a previous systematic review and expert appraisal to develop a compulsivity scale for candidate behavioral addictions (the Granada Assessment for Cross-domain Compulsivity, GRACC).

METHODS

The initial scale (GRACC90) consisted of 90 items comprising previously proposed operationalizations of compulsivity, and was validated in two panel samples of individuals regularly engaging in gambling and video gaming, using exploratory structural equation modeling (ESEM) and convergence analyses.

RESULTS

The GRACC90 scale is unidimensional and structurally invariant across samples, and predicted severity of symptoms, lower quality of life, and negative affect, to similar degrees in the two samples. Additionally, poorer quality of life and negative affect were comparably predicted by compulsivity and by severity of symptoms. A shorter version of the scale (GRACC18) is proposed, based on selecting the 18 items with highest factor loadings.

CONCLUSIONS

Results support the proposal that core symptoms of behavioral addictions strongly overlap with compulsivity, and peripheral symptoms are not essential for their conceptualization. Further research should clarify the etiology of compulsive behavior, and whether pathways to compulsivity in behavioral addictions could be common or different across domains.

Engineered highs: Reward variability and frequency as potential prerequisites of behavioural addiction

Influential learning-based accounts of substance addictions posit the attribution of incentive salience to drug-associated cues, and its escalation by the direct dopaminergic effects of drugs. In translating this account to disordered gambling, we have noted how the intermittent nature of monetary rewards in gambling (i.e. the variable ratio) may allow for analogous learning processes, via effects on dopaminergic signalling. The aim of the present article is to consider how multiple sources of reward variability operate within modern gambling products, and how similar sources of variability, as well as some novel sources of variability, also apply to other digital products implicated in behavioural addictions, including gaming, shopping, social media and online pornography. Online access to these activities facilitates not only unparalleled accessibility but also introduces novel forms of reward variability, as seen in the effects of infinite scrolls and personalized recommendations. We use the term uncertainty to refer to the subjective experience of reward variability. We further highlight two psychological factors that appear to moderate the effects of uncertainty: 1) the timecourse of uncertainty, especially with regard to its resolution, 2) the frequency of exposure, allowing temporal compression. Collectively, the evidence illustrates how qualitative and quantitative variability of reward can confer addictive potential to non-drug reinforcers by exploiting the psychological and neural processes that rely on predictability to guide reward seeking behaviour.

Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction

Drug abuse is a serious problem worldwide. Owing to intermittent intake of certain substances and the early inconspicuous clinical symptoms, this brings huge challenges for timely diagnosing addiction status and preventing substance use disorders (SUDs). As a non-invasive technique, neuroimaging can capture neurobiological signatures of abnormality in multiple brain regions caused by drug consumption in each clinical stage, like parenchymal morphology alteration as well as aberrant functional activity and connectivity of cerebral areas, making it realizable to diagnosis, prediction and even preemptive therapy of addiction. Machine learning (ML) algorithms primarily used for classification have been extensively applied in analysing medical imaging datasets. Significant neurobiological characteristics employed and revealed by classifiers were used to diagnose addictive states and predict initiation and vulnerability to drug usage, treatment abstinence, relapse and resilience of addicts and the risk of SUD. In this review, we summarize application of ML methods in neuroimaging focusing on addicts' diagnosis of clinical status and risk prediction and elucidate the discriminative neurobiological features from brain electrophysiological, morphological and functional perspectives that contribute most to the classifier, finally highlighting the auxiliary role of ML in addiction treatment.

Structural and Functional Neural Correlates in Individuals with Excessive Smartphone Use: A Systematic Review and Meta-Analysis

Background: Despite known association of internet addiction with a reduced brain volume and abnormal connectivity, the impact of excessive smartphone use remains unclear. Methods: PubMed, Embase, ClinicalTrial.gov, and Web of Science databases were systematically searched from inception to July 2022 using appropriate keywords for observational studies comparing differences in brain volumes and activations between excessive smartphone users and individuals with regular use by magnetic resonance imaging. Results: Of the 11 eligible studies retrieved from 6993 articles initially screened, seven and six evaluated brain volumes and activations, respectively. The former enrolled 421 participants (165 excessive smartphone users vs. 256 controls), while the latter recruited 276 subjects with 139 excessive smartphone users. The results demonstrated a smaller brain volume in excessive smartphone users compared to the controls (g = −0.55, p < 0.001), especially in subcortical regions (p < 0.001). Besides, the impact was more pronounced in adolescents than in adults (p < 0.001). Regression analysis revealed a significant positive association between impulsivity and volume reduction. Regarding altered activations, the convergences of foci in the declive of the posterior lobe of cerebellum, the lingual gyrus, and the middle frontal gyrus were noted. Conclusions: Our findings demonstrated a potential association of excessive smartphone use with a reduced brain volume and altered activations.

A mechanistic overview of approaches for the treatment of psychostimulant dependence

Psychostimulant use disorder is a major health issue around the world with enormous individual, family-related and societal consequences, yet there are no effective pharmacological treatments available. In this review, a target-based overview of pharmacological treatments toward psychostimulant addiction will be presented. We will go through therapeutic approaches targeting different aspects of psychostimulant addiction with focus on three major areas; 1) drugs targeting signalling, and metabolism of the dopamine system, 2) drugs targeting either AMPA receptors or metabotropic glutamate receptors of the glutamate system and 3) drugs targeting the severe side-effects of quitting long-term psychostimulant use. For each of these major modes of intervention, findings from pre-clinical studies in rodents to clinical trials in humans will be listed, and future perspectives of the different treatment strategies as well as their potential side-effects will be discussed. Pharmaceuticals modulating the dopamine system, such as antipsychotics, DAT-inhibitors, and disulfiram, have shown some promising results. Cognitive enhancers have been found to increase aspects of behavioural control, and drugs targeting the glutamate system such as modulators of metabotropic glutamate receptors and AMPA receptors have provided interesting changes in relapse behaviour. Furthermore, CRF-antagonists directed toward alleviating the symptoms of the withdrawal stage have been examined with interesting resulting changes in behaviour. There are promising results investigating therapeutics for psychostimulant addiction, but further preclinical work and additional human studies with a more stratified patient selection are needed to prove sufficient evidence of efficacy and tolerability.

Neuropsychiatric Model of Addiction Simplified

While substance experimentation typically begins in adolescence, substance use disorders (SUDs) usually develop in late teens or early adulthood, often in individuals who are vulnerable because of biological and socioeconomic risk factors. Severe SUDs-synonymous with addiction-involve changes in limbic and prefrontal brain areas after chronic drug exposure. These changes involve learned associations between drug reward and cues that trigger the anticipation of that reward (known as incentive salience), as well as heightened dysphoria during withdrawal and weakened prefrontal circuits needed for inhibiting habitual responses.

Sex differences in α-adrenergic receptor function contribute to impaired hypothalamic metaplasticity following chronic intermittent ethanol exposure

BACKGROUND

Individuals with alcohol use disorder (AUD) exhibit maladaptive responses of the hypothalamic-pituitary-adrenal (HPA) axis to stress, which has been linked to high rates of relapse to drinking among abstinent individuals. Corticotropin-releasing factor (CRF) parvocellular neuroendocrine cells (PNCs) within the paraventricular nucleus of the hypothalamus (PVN) are critical to stress-induced HPA axis activation. Here, we investigate sex differences in synaptic transmission and plasticity in PNCs following the application of the stress-associated neurotransmitter norepinephrine (NE) in a rat model of AUD.

METHODS

Adult Sprague-Dawley rats were exposed to 40 days of chronic intermittent ethanol (CIE) vapor and 30 to 108 days of protracted withdrawal. We measured changes in holding current, evoked synaptic currents, and short-term glutamatergic plasticity (STP) in putative PNCs following the application of NE (10 μM) with and without the selective α1 adrenergic receptor (AR) antagonist prazosin (10 μM) or the α2AR antagonist atipamezole (10 μM). The experiments were performed using whole-cell patch clamp recordings in slices from CIE rats and air-exposed controls.

RESULTS

NE application caused two distinct effects: a depolarizing, inward, postsynaptic current and a reduction in amplitude of an evoked glutamatergic excitatory postsynaptic current (eEPSC). Both effects were sex- and CIE-specific. Prazosin blocked the postsynaptic inward current, while atipamezole blocked the NE-mediated suppression of eEPSCs. Additionally, STP formation was facilitated following NE application only in stress-naïve males and this response was lost in stressed animals exposed to a 30-min restraint stress following CIE exposure. Furthermore, NE + prazosin restored STP formation in stressed CIE males.

CONCLUSIONS

NE exerts excitatory and inhibitory effects on CRF PVN PNCs, and both effects are influenced by sex and CIE. Behavioral and hormonal responses to stress are influenced by STP formation within the PVN, which is lost following CIE and restored with the preapplication of prazosin. The selective blockade of α1AR may, therefore, ameliorate CIE-induced deficits in HPA responses to stress in a sex-specific manner.

Is Chronic Pain a Disease?

It was not until the twentieth century that pain was considered a disease. Before that it was managed medically as a symptom. The motivations for declaring chronic pain a disease, whether of the body or of the brain, include increasing its legitimacy as clinical problem and research focus worthy of attention from healthcare and research organizations alike. But 1 problem with disease concepts is that having a disease favors medical solutions and tends to reduce patient participation. We argue that chronic pain, particularly chronic primary pain (recently designated a first tier pain diagnosis in International Diagnostic Codes 11), is a learned state that is not intransigent even if it has biological correlates. Chronic pain is sometimes a symptom, and may sometimes be its own disease. But here we question the value of a disease focus for much of chronic pain for which patient involvement is essential, and which may need a much broader societal approach than is suggested by the disease designation. PERSPECTIVE: This article examines whether designating chronic pain a disease of the body or brain is helpful or harmful to patients. Can the disease designation help advance treatment, and is it needed to achieve future therapeutic breakthrough? Or does it make patients over-reliant on medical intervention and reduce their engagement in the process of recovery?

Satisfaction with normative life domains and the course of anorexia nervosa

OBJECTIVE

Satisfaction with normative life domains has been proposed as an important factor in the persistence of anorexia nervosa (AN). Initial evidence from a cross-sectional study indicated that individuals with AN reported lower satisfaction with normative life domains than individuals without an eating disorder. As an important next step in understanding causal relations, the present study used a longitudinal design to examine whether an improvement in AN symptoms is paralleled by an increase in satisfaction with normative life domains from baseline to follow-up and whether relatively low satisfaction with normative life domains at baseline is related to less improvement in AN symptoms.

METHODS

During baseline and at 1-year follow-up, adolescents with AN (N = 69) completed the Brief Multidimensional Students' Life Satisfaction Scale to measure satisfaction with normative life domains (e.g., friendships, school experience). Furthermore, eating disorder symptoms and BMI were measured.

RESULTS

Improvement in eating disorder symptoms, but not in BMI, was paralleled by an increase in satisfaction with normative life domains. Relatively low satisfaction with normative life domains at baseline was not prospectively related to less improvement in eating disorder symptoms or BMI at follow-up.

DISCUSSION

Our findings provide initial evidence that satisfaction with normative life domains is a malleable factor which fluctuates with symptom severity in AN. The results of this exploratory study point to the relevance of examining whether targeting satisfactory engagement with specific life domains optimizes treatment effectiveness.

PUBLIC SIGNIFICANCE

We explored whether an improvement in anorexia nervosa symptoms from start of treatment to 1-year follow-up would be paralleled by an increase in satisfaction with normative life domains. Improvement in eating disorder symptoms (but not BMI) was indeed related to a concurrent increase in satisfaction with normative life domains. These preliminary results point to the promising possibility that targeting satisfactory engagement with specific life domains may potentially enhance treatment effectiveness.

Portable Neuroimaging-Guided Noninvasive Brain Stimulation of the Cortico-Cerebello-Thalamo-Cortical Loop—Hypothesis and Theory in Cannabis Use Disorder

Background: Maladaptive neuroplasticity-related learned response in substance use disorder (SUD) can be ameliorated using noninvasive brain stimulation (NIBS); however, inter-individual variability needs to be addressed for clinical translation. Objective: Our first objective was to develop a hypothesis for NIBS for learned response in SUD based on a competing neurobehavioral decision systems model. The next objective was to develop the theory by conducting a computational simulation of NIBS of the cortico-cerebello-thalamo-cortical (CCTC) loop in cannabis use disorder (CUD)-related dysfunctional “cue-reactivity”—a construct closely related to “craving”—that is a core symptom. Our third objective was to test the feasibility of a neuroimaging-guided rational NIBS approach in healthy humans. Methods: “Cue-reactivity” can be measured using behavioral paradigms and portable neuroimaging, including functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) metrics of sensorimotor gating. Therefore, we conducted a computational simulation of NIBS, including transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) of the cerebellar cortex and deep cerebellar nuclei (DCN) of the CCTC loop for its postulated effects on fNIRS and EEG metrics. We also developed a rational neuroimaging-guided NIBS approach for the cerebellar lobule (VII) and prefrontal cortex based on a healthy human study. Results: Simulation of cerebellar tDCS induced gamma oscillations in the cerebral cortex, while transcranial temporal interference stimulation induced a gamma-to-beta frequency shift. A preliminary healthy human study (N = 10) found that 2 mA cerebellar tDCS evoked similar oxyhemoglobin (HbO) response in the range of 5 × 10⁻⁶ M across the cerebellum and PFC brain regions (α = 0.01); however, infra-slow (0.01–0.10 Hz) prefrontal cortex HbO-driven phase–amplitude-coupled (PAC; 4 Hz, ±2 mA (max)) cerebellar tACS evoked HbO levels in the range of 10⁻⁷ M that were statistically different (α = 0.01) across these brain regions. Conclusion: Our healthy human study showed the feasibility of fNIRS of cerebellum and PFC and closed-loop fNIRS-driven ctACS at 4 Hz, which may facilitate cerebellar cognitive function via the frontoparietal network. Future work needs to combine fNIRS with EEG for multi-modal imaging for closed-loop NIBS during operant conditioning.

Effect of extended-release naltrexone on alcohol consumption: a systematic review and meta-analysis

AIMS

The aims of this study were to (1) estimate the effect of extended-release naltrexone compared with placebo on alcohol consumption in patients with alcohol use disorder (AUD) and (2) conduct pre-planned subgroup analyses to test whether being abstinent when initiating treatment (lead-in abstinence) or the duration of treatment improves treatment efficacy.

DESIGN

Systematic review and random-effects meta-analysis of blinded randomized placebo-controlled trials reporting the effect extended-release naltrexone on alcohol consumption.

SETTING

Outpatient clinics.

PARTICIPANTS

Seven trials evaluating a total of 1500 adults with AUD receiving monthly injections of either placebo or extended-release naltrexone at doses of 150-400 mg for 2-6 months and some form of behavioral therapy.

MEASUREMENTS

Pooled weighted mean difference (WMD) in drinking days per month and heavy drinking days per month.

FINDINGS

The WMD was -2.0 [95% confidence interval (CI) = -3.4, -0.6; P = 0.03] in favor of extended-release naltrexone for drinking days per month and -1.2 (95% CI = -0.2, -2.1; P = 0.02) for heavy drinking days per month, indicating that treatment resulted in two fewer drinking days per month and 1.2 fewer heavy drinking days per month compared with placebo. Trials not requiring lead-in abstinence and those lasting longer than 3 months reported larger reductions in heavy drinking days per month; WMD -2.0 (95% CI = -3.52, -0.48; P = 0.01) and -1.9 (95% CI = -3.2, -0.5; P = 0.01), respectively. In all cases, the I² statistics (0-7.2%) did not suggest substantial heterogeneity.

CONCLUSIONS

Extended-release naltrexone reduces drinking days and heavy drinking days per month compared with placebo. Reductions are larger with a longer duration of treatment.

Insights from system dynamics applications in addiction research: A scoping review

BACKGROUND AND AIMS

Substance misuse and use disorders are dynamic and complex problems, situated within systems of interacting social, environmental, and neurobiological factors. System dynamics (SD) methods broaden, test, and improve understanding of complex systems and can help inform effective action. We sought to systematically review the use of SD tools in addiction-related research.

METHODS

Following PRISMA guidelines, we searched several databases from 1958 to 2019. We included studies focused on addiction-related screening and diagnosis, treatment, and return to use, as well as studies focused on earlier stages that may begin a path to addiction (e.g., experimentation, misuse onset).

RESULTS

We extracted information from 59 articles with a median publication year of 2014. In addition to using SD to understand the underlying complexity driving addiction-related trends, other commonly cited reasons for use of SD included assessing impacts of potential actions (n = 35), predicting future trends (n = 28), and supporting strategic planning processes (n = 22). Most studies included simulation models (n = 43); however, some presented insights from qualitative SD diagrams (n = 9) and concept models (n = 6). The majority of studies focused on stages leading to potential addiction: initiation/ experimentation (n = 42) and misuse onset (n = 38). One-third (n = 20) engaged persons with lived experience or other stakeholders during the modeling process.

CONCLUSIONS

Addiction-related SD research has increased over the last few decades with applications varying in several ways, from model purpose and types of data used to stakeholder involvement. Future applications should consider the benefits of stakeholder engagement throughout the modeling process and expanding models to include concomitant substance use.

Pain Management and Risks Associated With Substance Use: Practice Recommendations

Assessing and managing pain while evaluating risks associated with substance use and substance use disorders continues to be a challenge faced by health care clinicians. The American Society for Pain Management Nursing and the International Nurses Society on Addictions uphold the principle that all persons with co-occurring pain and substance use or substance use disorders have the right to be treated with dignity and respect, and receive evidence-based, high quality assessment, and management for both conditions. The American Society for Pain Management Nursing and International Nurses Society on Addictions have updated their 2012 position statement on this topic supporting an integrated, holistic, multidimensional approach, which includes nonopioid and nonpharmacological modalities. Opioid use disorder is used as an exemplar for substance use disorders and clinical recommendations are included with expanded attention to risk assessment and mitigation with interventions targeted to minimize the risk for relapse or escalation of substance use. Opioids should not be excluded for anyone when indicated for pain management. A team-based approach is critical, promotes the active involvement of the person with pain and their support systems, and includes pain and addiction specialists whenever possible. Health care systems should establish policies and procedures that facilitate and support the principles and recommendations put forth in this article.

Monitoring Programs for Nurses With Substance Use Disorders: One Nurse's Journey and Recommendations

Estimates of nurses with substance use disorders (SUDs) are approximately equal to those of the general public. Historically, nurses with SUDs faced public disciplinary action for any violations of the nurse practice act in their respective states, but now many states have alternative-to-discipline (ATD) programs available. Although the consent agreement for disciplinary and non-disciplinary programs are often similar, ATD programs are, in contrast, confidential and assist nurses to safely return to practice. As a RN and person in long-term recovery, I have first-hand experience with an ATD program. I credit the program with saving my career; however, it is not without criticism. Recommendations for improvements include increased education about ATD programs, research to evaluate efficacy of mandated interventions, including nurses in recovery within shared governance of these programs, implementing true peer support with nurses in long-term recovery, defraying the costs of the program to participants, and ensuring all staff within the programs receive standardized onboarding training followed by ongoing education. [Journal of Psychosocial Nursing and Mental Health Services, 59(3), 13-17.].

Mental distress through the prism of predictive processing theory

We review the predictive processing theory's take on goals and affect, to shed new light on mental distress and how it develops into psychopathology such as in affective and motivational disorders. This analysis recovers many of the classical factors known to be important in those disorders, like uncertainty and control, but integrates them in a mechanistic model of adaptive and maladaptive cognition and behavior. We derive implications for treatment that have so far remained underexposed in existing predictive processing accounts of mental disorder, specifically with regard to the model-dependent construction of value, the importance of model validation (evidence), and the introduction and learning of new, adaptive beliefs that relieve suffering.

A US national randomized study to guide how best to reduce stigma when describing drug-related impairment in practice and policy

BACKGROUND AND AIMS

Drug-related impairment is persistently stigmatized delaying and preventing treatment engagement. To reduce stigma, various medical terms (e.g. 'chronically relapsing brain disease', 'disorder') have been promoted in diagnostic systems and among national health agencies, yet some argue that over-medicalization of drug-related impairment lowers prognostic optimism and reduces personal agency. While intensely debated, rigorous empirical study is lacking. This study investigated whether random exposure to one of six common ways of describing drug-related impairment induces systematically different judgments.

DESIGN, SETTING AND PARTICIPANTS

Cross-sectional survey, US general population, among a nationally representative non-institutionalized sample (n = 3635; 61% response rate; December 2019-January 2020).

INTERVENTION

Twelve vignettes (six terms × gender) describing someone treated for opioid-related impairment depicted in one of six ways as a(n): 'chronically relapsing brain disease', 'brain disease', 'disease', 'illness', 'disorder' or 'problem'.

MEASUREMENTS

Multi-dimensional stigma scale assessing: blame; social exclusion; prognostic optimism, continuing care, and danger (a = 0.70-0.83).

FINDINGS

US adults [mean age = 47.81, confidence interval (CI) = 47.18-48.44; 52.4% female; 63.14% white] rated the same opioid-impaired person differently across four of five stigma dimensions depending on which of six terms they were exposed to. 'Chronically relapsing brain disease' induced the lowest stigmatizing blame attributions (P < 0.05); at the same time, this term decreased prognostic optimism [mean difference (MD) = 0.18, 95% CI = 0.05, 0.30] and increased perceived need for continuing care (MD = -0.26, 95% CI = -0.43, -0.09) and danger (MD = -0.13, 95% CI = -0.25, -0.02) when compared with 'problem'. Compared with a man, a woman was blamed more for opioid-related impairment (MD = -0.08, 95% CI = -0.15, -0.01); men were viewed as more dangerous (MD = 0.13, 95% CI = 0.06, 0.19) and to be socially excluded (MD = 0.16, 95% CI = 0.09, 0.23).

CONCLUSIONS

There does not appear to be one single medical term for opioid-related impairment that can meet all desirable clinical and public health goals. To reduce stigmatizing blame, biomedical 'chronically relapsing brain disease' terminology may be optimal; to increase prognostic optimism and decrease perceived danger/social exclusion use of non-medical terminology (e.g. 'opioid problem') may be optimal.

"I'm pretty sure it's either food poisoning or Covid-19": Lived experience versus medical knowledge in diagnosing substance use problems

People who use drugs, or who have in the past, often report that doctors and/or treatment providers devalue, or are unwilling to believe their claims in regards to substance use issues, in particular the presence and severity of withdrawal. In the case of benzodiazepine withdrawal this can not only lead to significant discomfort, frustration, and trauma for patients, but can lead to serious medical problems. This commentary uses the authors’ recent first-person experience with a disbelieving doctor in order to illustrate the lack of value often given to the claims and narratives of people with lived substance use experience. I outline some of the potential problems with this approach, including the effects on patients themselves and the loss of an important source of evidence-based knowledge. It also discusses potential risks associated with the recent increase in benzodiazepine prescription due to Covid-19 and offers suggestions for improving treatment outcomes.

Decoding the Role of Gut-Microbiome in the Food Addiction Paradigm

Eating behaviour is characterised by a solid balance between homeostatic and hedonic regulatory mechanisms at the central level and highly influenced by peripheral signals. Among these signals, those generated by the gut microbiota have achieved relevance in recent years. Despite this complex regulation, under certain circumstances eating behaviour can be deregulated becoming addictive. Although there is still an ongoing debate about the food addiction concept, studies agree that patients with eating addictive behaviour present similar symptoms to those experienced by drug addicts, by affecting central areas involved in the control of motivated behaviour. In this context, this review tries to summarise the main data regarding the role of the gut microbiome in eating behaviour and how a gut dysbiosis can be responsible for a maladaptive behaviour such as “food addiction”.

Bidirectional links between adolescent brain function and substance use moderated by cognitive control

BACKGROUND

No clear consensus exists as to whether neurodevelopmental abnormalities among substance users reflect predisposing neural risk factors, neurotoxic effects of substances, or both. Using a longitudinal design, we examined developmental patterns of the bidirectional links between neural mechanisms and substance use throughout adolescence.

METHOD

167 adolescents (aged 13-14 years at Time 1, 53% male) were assessed annually four times. Risk-related neural processing was assessed by blood-oxygen-level-dependent responses in the insula during a lottery choice task, cognitive control by behavioral performance during the Multi-Source Interference Task, and substance use by adolescents' self-reported cigarette, alcohol, and marijuana use.

RESULTS

Latent change score modeling indicated that greater substance use predicted increased insula activation during risk processing, but the effects of insula activation on changes in substance use were not significant. The coupling effect from substance use to insula activation was particularly strong for adolescents with low cognitive control, which supports the theorized moderating role of cognitive control.

CONCLUSIONS

Our results elucidate how substance use may alter brain development to be biased toward maladaptive decision-making, particularly among adolescents with poor cognitive control. Furthermore, the current findings underscore that cognitive control may be an important target in the prevention and treatment of adolescent substance use given its moderating role in the neuroadaptive effects of substance use on brain development.

Rewards that are near increase impulsive action

In modern society, the natural drive to behave impulsively in order to obtain rewards must often be curbed. A continued failure to do so is associated with a range of outcomes including drug abuse, pathological gambling, and obesity. Here, we used virtual reality technology to investigate whether spatial proximity to rewards has the power to exacerbate the drive to behave impulsively toward them. We embedded two behavioral tasks measuring distinct forms of impulsive behavior, impulsive action, and impulsive choice, within an environment rendered in virtual reality. Participants responded to three-dimensional cues representing food rewards located in either near or far space. Bayesian analyses revealed that participants were significantly less able to stop motor actions when rewarding cues were near compared with when they were far. Since factors normally associated with proximity were controlled for, these results suggest that proximity plays a distinctive role in driving impulsive actions for rewards.

Adapting Palliative Care Skills to Provide Substance Use Disorder Treatment to Patients With Serious Illness

BACKGROUND

The majority of Palliative Care (PC) clinicians report recently caring for a person with a Substance Use Disorder (SUD). The impact of an untreated SUD is associated with significant suffering but many PC clinicians report a lack of confidence in managing this population.

OBJECTIVE

This paper aims to demonstrate existing PC skills that can be adapted to provide primary SUD treatment.

METHODS

A comprehensive literature review was conducted on quality PC domains and core SUD treatment principles. To demonstrate the shared philosophy and skills of PC clinicians and SUD treatment, the National Consensus Project Clinical Practice Guidelines for Quality Palliative Care and resources outlining core Addiction Medicine and Nursing Competencies were used.

RESULTS

There is an abundance of overlapping domains in PC and SUD treatment. This paper focuses on the domains of communication, team-based care, quality of life considerations, addressing social determinants of health, and adherence to ethical principles. In each section, the shared domain in PC and SUD treatment is discussed and steps to expand PC clinician's skills are provided.

CONCLUSION

PC clinicians may be among the last healthcare touchpoint for persons with SUD, by naming the shared skills required in PC and evidenced-based SUD treatment, we challenge the field to undertake primary SUD treatment as part of its constant pursuit to better serve people living with serious illness.

Drug overdose deaths, addiction neuroscience and the challenges of translation

In this article, we argue that the rapid rise in drug overdose deaths in America is a tragedy that draws attention to fundamental conceptual and experimental problems in addiction science that have significant human consequences. Despite enormous economic investment, political support and claims to have revolutionised addiction medicine, neurobiological models are yet to produce a treatment for substance addiction. This is partly, we claim, because neurobiology is unable to explain essential features of addiction and relapse that neurobehavioral models of addiction are better placed to investigate. We show how addiction neuroscience turned to long-term memory to explain the chronicity of addiction and persistent relapses long after neurochemical traces have left the body. The turn to memory may in time help to close the translational gap facing addiction medicine, but it is our view in this article that the primary value of memory theory lays in its potential to create new critical friendships between biological and social sciences that are attuned to the lived experience and suffering of stigmatised people. The value of the memory turn may rest upon the capacity of these critical friendships to wean addiction science off its long-term dependence on disease concepts of human distress.

Implications of addiction diagnosis and addiction beliefs for public stigma: A cross-national experimental study

INTRODUCTION

Stigmatisation of alcohol and other drug (AOD) use disorders poses a significant barrier to treatment access. A review by the World Health Organization concluded that addictive disorders were the most stigmatised health condition. Few studies have examined whether different etiological models of addiction (MOA) have implications for public stigma toward AOD disorders. The current study examined whether beliefs representative of five MOA predict public stigma levels and whether stigma differs for AOD use disorders relative to other health conditions.

METHODS

Survey data were collected from Canada, the USA and Australia using an online data collection platform. Participants were randomised to one of four vignette manipulations describing an individual with an alcohol use disorder and/or other disorder. Participants' stigma toward the vignette character and beliefs related to five MOA (disease, moral, psychological, sociological, nature) were measured.

RESULTS

Stigma ratings were significantly higher in the alcohol use disorder condition compared to other conditions. Two MOA accounted for significant variance in stigma ratings, where greater beliefs in the nature and psychological MOA predicted significantly lower levels of stigma toward alcohol use disorder. Contrary to predictions, beliefs in the disease MOA did not relate to lower stigma. Lastly, beliefs in the moral MOA partly accounted for geographical region differences (the USA vs. Canada) in public stigma.

DISCUSSION AND CONCLUSIONS

The current study provides further experimental support that AOD disorders are more stigmatised than others. Additionally, the findings suggest that MOA may relate differentially to perceived stigma, and that regional variability in such beliefs exists.

Curing the broken brain model of addiction: Neurorehabilitation from a systems perspective

The dominant biomedical perspective on addictions has been that they are chronic brain diseases. While we acknowledge that the brains of people with addictions differ from those without, we argue that the "broken brain" model of addiction has important limitations. We propose that a systems-level perspective more effectively captures the integrated architecture of the embodied and situated human mind and brain in relation to the development of addictions. This more dynamic conceptualization places addiction in the broader context of the addicted brain that drives behavior, where the addicted brain is the substrate of the addicted mind, that in turn is situated in a physical and socio-cultural environment. From this perspective, neurorehabilitation should shift from a "broken-brain" to a systems theoretical framework, which includes high-level concepts related to the physical and social environment, motivation, self-image, and the meaning of alternative activities, which in turn will dynamically influence subsequent brain adaptations. We call this integrated approach system-oriented neurorehabilitation. We illustrate our proposal by showing the link between addiction and the architecture of the embodied brain, including a systems-level perspective on classical conditioning, which has been successfully translated into neurorehabilitation. Central to this example is the notion that the human brain makes predictions on future states as well as expected (or counterfactual) errors, in the context of its goals. We advocate system-oriented neurorehabilitation of addiction where the patients' goals are central in targeted, personalized assessment and intervention.

Primary and Secondary Prevention of Lung Cancer: Tobacco Treatment

Tobacco dependence is the most consequential target to reduce the burden of lung cancer worldwide. Quitting after a cancer diagnosis can improve cancer prognosis, overall health, and quality of life. Several oncology professional organizations have issued guidelines stressing the importance of tobacco treatment for patients with cancer. Providing tobacco treatment in the context of lung cancer screening is another opportunity to further reduce death from lung cancer. In this review, the authors describe the current state of tobacco dependence treatment focusing on new paradigms and approaches and their particular relevance for persons at risk or on treatment for lung cancer.

Eye Tracking Studies Exploring Cognitive and Affective Processes among Alcohol Drinkers: a Systematic Review and Perspectives

Acute alcohol intoxication and alcohol use disorders are characterized by a wide range of psychological and cerebral impairments, which have been widely explored using neuropsychological and neuroscientific techniques. Eye tracking has recently emerged as an innovative tool to renew this exploration, as eye movements offer complementary information on the processes underlying perceptive, attentional, memory or executive abilities. Building on this, the present systematic and critical literature review provides a comprehensive overview of eye tracking studies exploring cognitive and affective processes among alcohol drinkers. Using PRISMA guidelines, 36 papers that measured eye movements among alcohol drinkers were extracted from three databases (PsycINFO, PubMed, Scopus). They were assessed for methodological quality using a standardized procedure, and categorized based on the main cognitive function measured, namely perceptive abilities, attentional bias, executive function, emotion and prevention/intervention. Eye tracking indexes showed that alcohol-related disorders are related to: (1) a stable pattern of basic eye movement impairments, particularly during alcohol intoxication; (2) a robust attentional bias, indexed by increased dwell times for alcohol-related stimuli; (3) a reduced inhibitory control on saccadic movements; (4) an increased pupillary reactivity to visual stimuli, regardless of their emotional content; (5) a limited visual attention to prevention messages. Perspectives for future research are proposed, notably encouraging the exploration of eye movements in severe alcohol use disorders and the establishment of methodological gold standards for eye tracking measures in this field.

Out of our heads: Addiction and psychiatric externalism

In addiction, apparently causally significant phenomena occur at a huge number of levels; addiction is affected by biomedical, neurological, pharmacological, clinical, social, and politico-legal factors, among many others. In such a complex, multifaceted field of inquiry, it seems very unlikely that all the many layers of explanation will prove amenable to any simple or straightforward, reductive analysis; if we are to unify the many different sciences of addiction while respecting their causal autonomy, then, what we are likely to need is an integrative framework. In this paper, we propose the theory of "Externalist" or "4E" - for extended, embodied, embedded, and enactive - cognition, which focuses on the empirical and conceptual centrality of the wider extra-neural environment to cognitive and mental processes, as a candidate for such a framework. We begin in Section 2 by outlining how such a perspective might apply to psychiatry more generally, before turning to some of the ways it can illuminate addiction in particular: Section 3 points to a way of dissolving the classic dichotomy between the "choice model" and "disease model" in the addiction literature; Section 4 shows how 4E concepts can clarify the interplay between the addict's brain and her environment; and Section 5 considers how these insights help to explain the success of some recovery strategies, and may help to inform the development of new ones.

Top Ten Tips Palliative Care Clinicians Should Know About Opioid Use Disorder

Since the prevalence of substance use disorders, and opioid use disorder (OUD) specifically, remains high and represents a public health crisis, it is critical that palliative care (PC) providers have a broad understanding of this class of chronic, yet treatable, diseases. Conceptualizing stigma associated with OUD, treatment modalities available, and educational opportunities are key factors in providing patient-centered care. A solid foundation of knowledge about OUD in the setting of serious illness is also crucial as PC providers often recommend or prescribe opioids for symptom management in patients who also have OUD. Furthermore, the PC interdisciplinary team is particularly well poised to care for patients suffering from OUD due to the inherently holistic approach already present in the specialty of PC. This article offers PC teams a framework for understanding the diagnosis and treatment of OUD, methods for performing risk stratification and monitoring, and an overview of opportunities to enhance our care of PC patients with OUD.

Relapse to substance use: A concept analysis

The concept of relapse is ubiquitous in the health literature related to addiction. Nevertheless, relapse is-and has been-described and measured under various definitions, which precipitates confusion, inconsistency, and stigma. This study aimed to (a) clarify the meaning of relapse and (b) present a comprehensive definition of relapse vis-à-vis substance use. Walker and Avant's method of concept analysis was followed to analyze the relapse using CINAHL, PsychINFO, and PubMed databases. Three key attributes of relapse were identified: (a) interruption of abstinence, (b) vulnerability to uncontrollable substance-related behavior and/or cues, (c) a transition to potential progression or regression. Antecedents and consequences of attributes were identified, followed by the construction of the model and additional cases. Relapse is defined conceptually as either a transition to regression or a progression in the process of recovery, prompted by a return to the previous behavior of substance use, despite the intention to stay abstinent. A standardized definition and understanding of relapse not only minimize confusion, inconsistency, and social and self-stigma associated with the term but also helps provide relapse-sensitive care with accurate methods of assessment and evaluation.

Embodying addiction: A predictive processing account

In this paper we show how addiction can be thought of as the outcome of learning. We look to the increasingly influential predictive processing theory for an account of how learning can go wrong in addiction. Perhaps counter intuitively, it is a consequence of this predictive processing perspective on addiction that while the brain plays a deep and important role in leading a person into addiction, it cannot be the whole story. We'll argue that predictive processing implies a view of addiction not as a brain disease, but rather as a breakdown in the dynamics of the wider agent-environment system. The environment becomes meaningfully organised around the agent's drug-seeking and using behaviours. Our account of addiction offers a new perspective on what is harmful about addiction. Philosophers often characterise addiction as a mental illness because addicts irrationally shift in their judgement of how they should act based on cues that predict drug use. We argue that predictive processing leads to a different view of what can go wrong in addiction. We suggest that addiction can prove harmful to the person because as their addiction progressively takes hold, the addict comes to embody a predictive model of the environment that fails to adequately attune them to a volatile, dynamic environment. The use of an addictive substance produces illusory feedback of being well-attuned to the environment when the reality is the opposite. This can be comforting for a person inhabiting a hostile niche, but it can also prove to be harmful to the person as they become skilled at living the life of an addict, to the neglect of all other alternatives. The harm in addiction we'll argue is not to be found in the brains of addicts, but in their way of life.

Learning to lose control: A process-based account of behavioral addiction

Learning psycho(bio)logy has developed a solid corpus of evidence and theory regarding behavior control modes. The present article briefly reviews that literature and its influence on recent models in which the transition from goal-directed to compulsive behavior is identified as the main process underlying substance use disorders. This literature is also relevant to non-substance addictive disorders, and serves as basis to propose a restricted definition of behavioral addiction relying on the presence of behavior-specific compulsivity. Complementarily, we consider whether some activities can become disordered while remaining mostly goal-driven. Based on reinforcement learning models, relative outcome utility computation is proposed as an alternative mechanism through which dysfunctional behaviors (even not qualifying as addictive) can override adaptive ones, causing functional impairment. Beyond issues of conceptual delimitation, recommendations are made regarding the importance of identifying individual etiological pathways to dysregulated behavior, the necessity of accurately profiling at-risk individuals, and the potential hazards of symptom-based diagnosis. In our view, the validity of these recommendations does not depend on the position one takes in the nosological debate.

Alcohol use disorders

Alcohol use disorders consist of disorders characterised by compulsive heavy alcohol use and loss of control over alcohol intake. Alcohol use disorders are some of the most prevalent mental disorders globally, especially in high-income and upper-middle-income countries; and are associated with high mortality and burden of disease, mainly due to medical consequences, such as liver cirrhosis or injury. Despite their high prevalence, alcohol use disorders are undertreated partly because of the high stigma associated with them, but also because of insufficient systematic screening in primary health care, although effective and cost-effective psychosocial and pharmacological interventions do exist. Primary health care should be responsible for most treatment, with routine screening for alcohol use, and the provision of a staggered treatment response, from brief advice to pharmacological treatment. Clinical interventions for these disorders should be embedded in a supportive environment, which can be bolstered by the creation of alcohol control policies aimed at reducing the overall level of consumption.

Inquiry in the Medical Curriculum: A Pedagogical Conundrum and a Proposed Solution

Habits of inquiry are considered an essential component of the modern physician's profile. These habits drive physicians to recognize and address the continuous challenges inherent to the practice of medicine; consequently, they meet the aims of better patient-centered care, better health of communities, and improved functioning of the health system. Many medical schools have endeavored to integrate inquiry into their curricula as a means of supporting development of adaptive expertise, a construct that encompasses habits of inquiry. However, the diversity of conceptualizations of inquiry has resulted in correspondingly diverse instructional implementations. Much of the emphasis has been on inquiry methods (e.g., engagement in research projects, courses in research methods and statistics), but the learners' inquiry disposition and its essential attitude component have received little attention in instruction and assessment. The authors propose that both inquiry methods and attitude need to be developed explicitly and simultaneously to prepare physicians to successfully be willing and able to address the challenges of today's health care environment. Because attitudes are established predictors of behavior, a positive inquiry attitude may be the ultimate determinant of physicians' engagement in behaviors of adaptive expertise (i.e., recognizing when learned procedures do not apply, and learning or inventing effective solutions). Addressing the attitude toward inquiry as early as possible in medical school is critical because strong attitudes are difficult to modify. Thus, a curriculum that supports positive inquiry attitude formation and strengthening will carry well beyond medical school and residency training.

Psychosomatic subjects and the agencies of addiction

Addiction science and public policy have for some time been articulated in conformity with a broader antinomy in Western thought between biological reductionism and liberal voluntarism. Hence, mainstream debates have concerned whether and how addiction might be understood as a disease in the biomedically orthodox sense of anatomical or physiological pathology or whether and how addiction might be understood as a voluntary choice of some kind. The fact that those who staff these debates have appeared either unable or unwilling to consider alternatives to this antinomy has resulted in a rather unhappy and intransigent set of intellectual anomalies both on the biomedical and the social scientific sides of this divide. Perhaps more importantly, it has also resulted in a striking isolation of scientific debates themselves from the vicissitudes of therapeutically caring for those putatively suffering from addictions both within and outside clinical settings. After briefly demonstrating the conformity of debates in addiction science with the broader antinomy between biological reductionism and liberal voluntarism and the anomalies that thereby result, this article considers the scientific and therapeutic benefits of a psychosomatic framework for the understanding of both self-governing subjects and the experience of a loss of self-control to agencies of addiction.

A Roadmap for Integrating Neuroscience Into Addiction Treatment: A Consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine

Although there is general consensus that altered brain structure and function underpins addictive disorders, clinicians working in addiction treatment rarely incorporate neuroscience-informed approaches into their practice. We recently launched the Neuroscience Interest Group within the International Society of Addiction Medicine (ISAM-NIG) to promote initiatives to bridge this gap. This article summarizes the ISAM-NIG key priorities and strategies to achieve implementation of addiction neuroscience knowledge and tools for the assessment and treatment of substance use disorders. We cover two assessment areas: cognitive assessment and neuroimaging, and two interventional areas: cognitive training/remediation and neuromodulation, where we identify key challenges and proposed solutions. We reason that incorporating cognitive assessment into clinical settings requires the identification of constructs that predict meaningful clinical outcomes. Other requirements are the development of measures that are easily-administered, reliable, and ecologically-valid. Translation of neuroimaging techniques requires the development of diagnostic and prognostic biomarkers and testing the cost-effectiveness of these biomarkers in individualized prediction algorithms for relapse prevention and treatment selection. Integration of cognitive assessments with neuroimaging can provide multilevel targets including neural, cognitive, and behavioral outcomes for neuroscience-informed interventions. Application of neuroscience-informed interventions including cognitive training/remediation and neuromodulation requires clear pathways to design treatments based on multilevel targets, additional evidence from randomized trials and subsequent clinical implementation, including evaluation of cost-effectiveness. We propose to address these challenges by promoting international collaboration between researchers and clinicians, developing harmonized protocols and data management systems, and prioritizing multi-site research that focuses on improving clinical outcomes.