Addiction Biology

Background: Cannabis is one of the most widely used psychoactive substances worldwide. {Delta}-tetrahydrocannabinol ({Delta}-THC) is the main contributor to cannabis-induced effects such as euphoria, anxiety, and psychotomimetic effects, and is metabolized by several hepatic enzymes, including CYP3A4. There are interindividual differences in how cannabis affects users, which have substantial genetic contributors. Methods: We examined how real-time effects of {Delta}-THC on psychotomimetic measures and on subjective effects of "high", sadness and anxiety in 188 healthy volunteers in a laboratory infusion paradigm, relate to polygenic risk scores (PRS) for cannabis lifetime use (CanLU), cannabis use disorder (CanUD), and CYP3A4 expression. Results: CYP3A4 expression PRS was significantly associated with {Delta}-THC-induced psychotomimetic effects. Genetic liability to use and misuse cannabis is potentially associated with lower {Delta}-THC-induced psychotomimetic symptoms. CanLU PRS nominally predicted enhanced {Delta}-THC-induced "high", while CanUD PRS predicted it to be lower. Conclusions: Our findings suggest that genetic liability to produce more CYP3A4 enzyme may be associated with faster {Delta}-THC degradation and the consequential diminution of the latter's effects. Nominal effects suggest that aversive outcomes may reduce cannabis use and use disorder genetic liability, and that CanUD subjects may need higher {Delta}-THC doses to experience euphoria ("high"). In total, this study provides novel insights regarding some of the specific genetic factors that influence interindividual variability in {Delta}-THC effects, mainly via {Delta}-THC metabolism.

Importance: Cannabis use remains prevalent in youth despite concerns regarding its potential impact on cognitive function. Unraveling whether the association between cannabis use and cognition is partially due to preexisting differences or primarily related to use is vital to understanding underlying mechanisms. Objective: To estimate the longitudinal association between cannabis initiation and cognitive trajectories, indexed by task performance and P3 event-related potential (ERP), and to estimate whether baseline cognition is associated with cannabis initiation. Design: Data were analyzed from the ongoing longitudinal Collaborative Study on the Genetics of Alcoholism (COGA) cohort, which was followed up approximately every 2-5 years from 2004 to 2025. Setting: 6 sites across the United States. Participants: Adolescent and young adult offspring of past COGA participants and control families who reported on their cannabis use and who had Visual Oddball (VOP) performance and P3 ERP data (N=4814; 52.4% female, 68.4% white) were grouped based on the timing of cognitive data collection relative to cannabis initiation into Pre-onset (n=2,449; [&ge;]1 assessment) and Post-onset (n=998; [&ge;]3 assessments) subsamples. Main Outcomes and Measures: VOP measures include performance accuracy (%), reaction times (ms), and P3 amplitude (V) and latency (ms) during target trials. Cannabis measures included lifetime use of cannabis (i.e., ever used) and age at first use. Results: High P3 amplitude, and prolonged P3 latency and reaction time were associated with a reduced hazard of cannabis initiation (All Hazards Ratio, [H.R.s]< 0.91, p's<.008). Following initiation, cannabis use was associated with steeper declines in P3 amplitude (b=-0.29, p=0.02) and stabilized reaction time (b=0.35; p=0.005). Steeper decline in P3 amplitude (i.e., slope) was associated with greater cannabis progression (e.g., Cannabis Use Disorder, Odds Ratio, [O.R.]=2.34, p<.001), whereas steeper decline in reaction time was associated with reduced progression (O.R.=.79, p=.002). Conclusion: Baseline P3 indices and reaction time were associated with cannabis initiation, while cannabis use was associated with subsequent changes in P3 amplitude and reaction time trajectories. These findings indicate that accelerated neurodevelopment may modify the likelihood of cannabis initiation which, in turn, may further contribute to neurocognitive changes that deepen cannabis involvement.

Background: Repetitive Transcranial Magnetic Stimulation (rTMS) is a promising treatment across addictive disorders including Cannabis Use Disorder (CUD). Stimulation of two rTMS-targets, the ventromedial prefrontal cortex (vmPFC) and the left dorsolateral prefrontal cortex (LDLPFC), limbic and executive control network hubs respectively, may yield differential effects. In this pilot trial, we explored the differential effects of 36-sessions of rTMS applied to either the vmPFC or LDLPFC. Methods: Treatment-seeking participants with moderate or severe CUD (n=20, 10F, age=33.3+9.8SD) were randomized to 36-sessions of open-label rTMS (two sessions-per-visit, two or three visits-per-week) to either the LDLPFC (3000-pulses; 10Hz) or vmPFC (900-pulses; 1Hz) using personalized functional Magnetic Resonance Imaging (fMRI) targets along with three-sessions of Motivational Enhancement Therapy. At baseline and following rTMS, the Time-Line Follow-Back was used to measure Days-per-week of cannabis use and the fMRI Regulation of Craving (ROC) task was used to measure network activation to cues associated with long-term negative ('Later') and short-term positive ('Now') consequences of cannabis use. Results: Eighty percent of participants completed study-rTMS. There was a significant decrease in days-per-week of cannabis use in both groups (vmPFC: d=7.9; DLPFC, d=3.1) between the four-weeks of baseline and seven-weeks of follow-up. LDPFC-rTMS reduced fMRI BOLD signal magnitude and increased LDLPFC functional connectivity in response to cues, while vmPFC-TMS reduced functional connectivity. Conclusions: Treatment-seeking participants with CUD reduced the number of days-per-week they used cannabis when receiving rTMS applied to either the LDPFC or vmPFC, while fMRI effects differed by treatment target. Future larger sham-controlled trials are needed for efficacy and biomarker determination.

BackgroundAlcohol use disorder is characterized by continued alcohol use despite negative consequences, also known as aversion-resistant drinking. Alcohol related cues can invigorate motivation to seek and consume alcohol. It is currently unknown whether alcohol related cues can invigorate drinking despite negative consequences. Materials and MethodsLong-Evans rats were trained in a discriminative stimulus (DS) task with cues predicting the available of alcohol reward. They were then tested in the task for aversion-resistant drinking by measuring consumption of alcohol adulterated with increasing concentrations of quinine. As a control for an environment free of reward-related cues, rats were also tested for aversion-resistant drinking in the home cage. ResultsWe found that rats displayed robust aversion-resistant drinking in the DS task. When we compared alcohol consumption in the task with home cage consumption, we found that rats were more aversion-resistant in the task than in the home cage. We also found that individual differences in aversion-resistant drinking were correlated within behavioral context (i.e. home cage or DS task) but not between the home cage and the DS task. ConclusionsWe found that aversion-resistant drinking is invigorated during cue-induced alcohol seeking relative to free drinking without explicit cues. Home cage quinine-sensitivity is unrelated to quinine-sensitivity in the presence of cues. This suggests that cues motivate drinking despite negative consequences in a way that is unique from aversion-resistance driven by drinking history. While many behavioral measures use cues and ultimately test aversion-resistant drinking, this is the first explicit test of cue-evoked aversion-resistant drinking.

Dysregulation of the dynorphin (DYN) / kappa-opioid receptor (KOR) system is heavily implicated in symptoms of alcohol use disorder (AUD) including negative affective-like states that can drive maladaptive behavioral regulation. Substantial efforts have been made towards understanding the neurobiology of DYN / KOR dysregulation; however, the role of dynorphinergic islands of Calleja within the ventral striatum remain poorly understood. Presently, adult male Wistar rats were trained to self-administer 10% alcohol, exposed to either air or alcohol vapor for eight weeks, and alcohol self-administration and 22-kHz ultrasonic vocalizations (USVs) assessed during acute withdrawal. Subsequently, brains were extracted during acute withdrawal and DYN A-like immunoreactivity was measured in the ventral striatum. Alcohol vapor-exposed rats demonstrated increased alcohol consumption and 22-kHz USVs compared to air-exposed controls. Vapor-exposed rats additionally demonstrated increased DYN A-like immunoreactivity in the islands of Calleja. Moreover, the average DYN A neuron size positively correlated with the number of 22-kHz USVs in vapor exposed animals, but not in air-exposed controls. The present findings identify the islands of Calleja as a novel DYN-associated region that may be recruited during alcohol dependence with enhanced DYN plasticity in the islands of Calleja contributing to affective dysregulation in AUD and other neuropsychiatric conditions.

Alcohol demand is commonly assessed using hypothetical alcohol purchase tasks (APTs), from which individual demand curves are constructed and yield multiple indices of reinforcing value. Procedurally, APTs can confer participant burden, and existing brief alternatives cannot produce demand curves or derived indices. Thus, we evaluated a novel, adjusting APT that efficiently and idiographically assesses alcohol demand while preserving the benefits of a full task. Adults reporting past-six-month alcohol use (n=897) completed either the adjusting or full APT, the former utilizing a binary-search-style algorithm to administer six prices from the full APT's price set based on level of alcohol demand. The adjusting APT reduced item burden by 49% and produced well-fitting individual demand curves. Average demand intensity and elasticity estimates did not differ significantly by modality, whereas Omax and breakpoint estimates were significantly higher on the adjusting APT, though only by $3 each. All demand indices from both APTs were positively associated with alcohol use and problems, with similar magnitude by modality. Results provide support for the adjusting APT as a brief measure of alcohol demand that retains demand-curve-based indices of reinforcing value.

Fentanyl-related overdose deaths now commonly involve non-injection routes, yet preclinical opioid self-administration is modeled predominantly intravenously. Here we establish an oral fentanyl self-administration procedure in male and female inbred C57BL/6 and outbred CD1 mice that measures volitional intake, cue-driven seeking, extinction, and relapse. Mice self-administered oral fentanyl (70 {micro}g/mL) on a fixed-ratio 1 schedule across fifteen 3-hour sessions, followed by ten extinction sessions and a cued reinstatement test. A separate cohort underwent between-session dose thresholding across a quarter-log series from 222 to 22 {micro}g/mL. Seventy-five percent of mice acquired self-administration, with similar rates across genetic background and sex. Responding increased as fentanyl concentration fell, indicating dose-sensitivity toward a preferred drug level. C57BL/6 mice escalated intake and lever pressing across sessions, responded persistently early in extinction before declining, and reinstated pressing to a conditioned cue. CD1 mice consumed high levels from the outset with limited escalation and showed neither extinction nor cued reinstatement of pressing, but shortened their reward-port approach latency when cues returned. This shows that lever presses alone would have misclassified them as weakly conditioned. A composite severity score summing seven components of fentanyl-use risk varied continuously rather than splitting into high and low groups, even among inbred mice. Sex differences were largely confined to C57BL/6 mice, in which females showed stronger cue association and higher severity scores than males. These results reveal separable escalation-prone and relapse-prone phenotypes that track genetic background. Protocols, hardware specifications, and analysis code are openly available, lowering the barrier to adopting oral fentanyl self-administration.

The lateral habenula (LHb) encodes aversive states and negative affect, positioning it as a candidate region for the negative reinforcement that drives alcohol withdrawal. However, little is known about how chronic ethanol exposure affects LHb neuronal function and glial biology during withdrawal. Here, we used chronic intermittent ethanol (CIE) vapor exposure, a well-established model of alcohol dependence that reliably produces somatic and affective signs of withdrawal, to examine LHb physiology and astrocytic markers during acute withdrawal in male and female rats. Whole-cell and cell-attached recordings revealed that withdrawal reduced evoked and spontaneous firing in LHb neurons, with rebound firing following a crossover pattern between males and females. Despite these excitability changes, the overall distribution of firing phenotypes was unchanged, suggesting a shift in gain rather than a reorganization of cell types. Immunofluorescence revealed increased Sox9+ and GFAP labeling in the LHb during withdrawal at the same time point when electrophysiology experiments uncovered impaired astrocytic regulation of glutamate clearance. Together, these findings reveal that withdrawal from chronic ethanol exposure produces neuronal and glial adaptations in the LHb, pointing to impaired glutamate regulation as a candidate mechanism relevant to the negative affective state of alcohol withdrawal. These findings position the LHb as a potential node linking astrocyte-neuron dynamics to withdrawal symptoms and relapse vulnerability in alcohol use disorder.

Drug-seeking behavior during withdrawal represents a critical obstacle to addiction treatment. In the nucleus accumbens, hyperactive dopamine D1 receptor-expressing medium spiny neurons (D1R-MSNs) promote cocaine-seeking through aberrant synaptic remodeling, including synapse formation and calcium-permeable AMPA receptor (CP-AMPAR) insertion. However, the intermediate molecular control mechanism remains unclear. We identified KCNQ2/3 potassium channels as key regulators of synaptic pathology during withdrawal. Cocaine-conditioned mice showed increased spine density, enhanced surface CP-AMPAR, and elevated neuronal activity 14 days after withdrawal. These phenotypes were reversed by repeated administration of KCNQ2/3 openers or D1R-MSN-specific expression of constitutively active KCNQ2. Functional restoration of KCNQ2/3 suppressed cocaine-seeking behavior and normalized D1R-MSN excitability. These findings suggest that sustained KCNQ2/3 deactivation drives synaptic remodeling during withdrawal, while channel activation offers a potential therapeutic strategy. Furthermore, the results position KCNQ2/3 as a master regulator of drug-seeking behavior and channel activation in D1R-MSNs as a logical target for relapse prevention in addiction.

RationaleThe opioid epidemic continues to be driven by synthetic opioids, particularly fentanyl, yet the long-term behavioral manifestations of withdrawal remain poorly characterized. Women exhibit unique vulnerabilities to opioid use disorder, including greater susceptibility to withdrawal-related symptoms and relapse, suggesting that defining the behavioral adaptations that emerge during prolonged fentanyl abstinence may identify mechanisms underlying female-specific relapse vulnerability. Thus, we used an oral fentanyl drinking model to longitudinally examine nociceptive, affective, and exploratory behaviors across chronic exposure and abstinence in female mice. MethodsAdult female C57BL/6J mice underwent a modified 5-week Drinking-in-the-Dark paradigm with 4-hour daily access to fentanyl (30 {micro}g/mL) or water. Somatic withdrawal was assessed following naloxone-precipitated withdrawal. Thermal and mechanical nociception, sucrose preference, exploratory behavior, acoustic startle, nest building, and locomotor activity were evaluated during fentanyl exposure and throughout one month of abstinence. ResultsFemale mice exhibited robust naloxone-precipitated somatic withdrawal, confirming physiological effects of opioid drinking. Chronic fentanyl exposure produced transient thermal hyperalgesia during weeks 2-4 of drinking that resolved by the final week, but re-emerged after 30 days of abstinence. After 30 days of abstinence, we also found increased mechanical sensitivity. During early abstinence, fentanyl-exposed mice exhibited increased sucrose consumption and greater exploration of anxiogenic environments without alterations in general locomotion. Increased exploratory behavior persisted into prolonged abstinence and was partially rescued in mice who previously received naloxone. Additionally, fDID mice exhibited impaired nesting behavior, while prior naloxone-precipitated withdrawal improved nest-building performance. ConclusionsWe demonstrate that chronic opioid exposure, precipitated withdrawal trials, and duration of abstinence interact to shape protracted withdrawal phenotypes in female mice that extend well beyond drug exposure. These results provide insight into persistent withdrawal symptoms that may shape relapse vulnerability using a novel translationally relevant framework.

Background: As cannabis policy changes in the United States, secondhand cannabis smoke (SCS) is increasingly common, including within families. However, prevalence of exposure and clinical correlates over time in adolescents are not fully understood. Objectives: (1) To estimate the prevalence of SCS and personal cannabis use in US-based teens exposed to SCS, and (2) examine the cognitive trajectories of adolescents exposed to SCS compared to non-exposed peers. Methods: Data from the Adolescent Brain Cognitive Development (ABCD) Study was used. Participants (n=11,316 of full cohort with follow-up data; n=776 with self-reported family SCS exposure) attended yearly visits from ages 11-17, completing substance use interviews, toxicological testing, and the NIH Toolbox Cognitive battery. Youth with SCS but no personal cannabis use (n=419; 47% female) were matched on prenatal substance exposure, family substance use history, and sociodemographics to non-SCS exposed and non-cannabis-using youth with a 1:2 ratio (Controls n=838). Linear mixed-effects models assessed cognitive performance by SCS*age interactions, accounting for random effects of subject and family. Covariates included sex and alcohol, nicotine, and other substance use. Secondary models analyzed performance by cumulative waves of reported SCS exposure interacting with age. Results: Of the full cohort, 6.9% (n=776) reported exposure to SCS. Of these individuals, 46% endorsed lifetime personal cannabis use by age 17, relative to 20% of non-SCS exposed youth (OR=3.83[95%CI:3.29,4.44]). Within matched participants, SCS*age demonstrated a significant interaction on attention and inhibitory control ({beta}=-0.32, p=.028), with SCS demonstrating reduced improvement over time. More waves of exposure were also associated with worse performance over time ({beta}=-0.39, p=.057). Discussion: Almost half of those who had been exposed to SCS endorsed personal cannabis use. Cognitive findings were domain specific, similar to findings in secondhand tobacco: SCS exposed youth showed restricted improvement in attention and inhibitory control by age 17. Public health and policymakers should make efforts to curb youth SCS exposure, given the potential for risk which has not been fully explored to date.

Background: Compulsive alcohol use despite negative outcomes is a defining characteristic of alcohol use disorder. Rats exposed to long-term intermittent alcohol access (IAA) demonstrate sustained motivation for ethanol despite presence of the bitter additive quinine, offering a useful preclinical model of compulsive alcohol use. However, little is known about the role of habenular circuitry in the development of this phenotype. Here, we employed chemogenetic techniques targeting basal forebrain (BF) input to the lateral habenula (LHb) to probe the involvement of this neural circuitry in aversion-resistant alcohol consumption. Methods: Following long-term IAA or control conditions, male and female Long-Evans rats underwent surgery for the expression of designer receptors in BF-to-LHb projections. We then excited this pathway in rats with IAA history, or inhibited this pathway in rats with more limited ethanol history, before testing consumption of unadulterated and quinine-adulterated ethanol as well as unadulterated and quinine-adulterated sucrose. Results: Long-term IAA elevated ethanol drinking in all rats and aversion-resistant ethanol preference in males. Chemogenetic activation of BF-to-LHb neurons in rats with IAA history produced different effects in males and females: excitation enhanced ethanol intake in females, but reduced ethanol preference in males, regardless of quinine adulteration. Activation also led to a relative insensitivity to quinine-adulteration of sucrose when compared to controls, particularly in females. Chemogenetic inhibition in rats with limited prior ethanol exposure did not alter either ethanol or sucrose consumption with or without quinine. Conclusions: Our results suggest a differential role for BF-to-LHb circuitry in ethanol drinking based on sex, and a potential role for this circuitry in the sensitivity to quinine in the context of natural reward consumption.

BackgroundSex differences in psychostimulant-related behaviors are often attributed to biological sex; however, individual variability may also strongly influence behavioral outcomes. The new MISSING (Mapping Intrinsic Sex Similarities as an Integral quality of Normalized Groups) model identifies mixed-sex behavioral groups in which differences are driven primarily by individual variability rather than sex. The goal of this study was to validate the MISSING model for psychostimulant/sucrose self-administration. MethodsLong Evans rats self-administered methamphetamine (METH, male n = 25, female n = 32, 0.1 mg/kg/infusion, FR1, 6h per day for 20 days), sucrose (male n = 20, female n = 22, one-20 mg pellet/delivery, all other conditions being equal) and saline (male n = 3, female n = 10, other things being equal). We developed a new Quantitative Structure of Curve Analytical (QSCAn) model (using exponential-plateau and linear fit) for the assessment of individual drug self-administration time curve profiles irrespective of biological sex. We analyzed our data using regression analysis and ANOVA. ResultsQSCAn identified three distinct self-administration profiles (consisting of both sexes), which we named exponential-plateau negative (EP-), exponential-plateau positive (EP+), and undefined (EP0). There were no differences in self-administration profiles when we compared males and females within the same group. Differences between sexes (when observed) were due to mismatched comparisons (males from one group versus females from a different group). ConclusionsOur study reinforces the MISSING model for psychostimulant and sucrose self-administration by indicating that differences between males and females (when observed) may not necessarily be driven by biological sex. Significance StatementCurrent approaches often interpret variability in psychostimulant self-administration between males and females primarily through the lens of biological sex. However, this framework may overlook meaningful behavioral phenotypes shared across sexes. The present quantitative model suggests that individual patterns of behavior may better account for variability than sex alone, particularly in behaviors not strongly driven by sex-hormone-dependent mechanisms such as drug self-administration. By classifying animals according to behavioral profiles rather than biological sex, this approach may foster the identification of clinically and biologically relevant phenotypes underlying psychostimulant reinforcement.

Alcohol use disorder (AUD) is a widespread psychiatric condition, yet the molecular mechanisms underlying its development remain poorly understood. While prior studies have largely focused on protein-coding genes, long non-coding RNAs (lncRNAs) remain underexplored in AUD. Malat1, a highly abundant and evolutionarily conserved lncRNA, is elevated in post-mortem brain tissue of human AUD subjects and rodents chronically exposed to ethanol; however, its causal contribution to AUD-relevant behaviors remains unknown. Using CRISPR/Cas9 genome editing, we generated two complementary global Malat1 knockout models to assess its role in alcohol intake and related phenotypes. Constitutive knockout selectively attenuated acute functional tolerance rate and every-other-day two-bottle-choice alcohol intake in females. These results were supported by an inducible adult conditional global knockout model, which reduced ethanol consumption in females without altering taste preference. Together, our findings provide the first causal evidence that Malat1 regulates alcohol consumption in a sex-specific manner, supporting further investigation into its underlying mechanisms in AUD.

RationaleCannabis withdrawal contributes to relapse in individuals with cannabis use disorder, yet preclinical studies have largely focused on withdrawal induced by injected cannabinoids rather than inhaled cannabis, which remains the most common route in humans. The behavioural effects of chronic exposure to vapourized cannabis flower and resulting withdrawal after cessation of exposure remain poorly characterized. ObjectivesTo determine the behavioural effects of chronic vapourized high-THC cannabis flower exposure on cannabinoid tetrad, somatic withdrawal and behavioural transition networks in rats following both chronic vapour exposure and administration of the cannabinoid receptor 1 (CB1) receptor antagonist SR141716A (rimonabant). MethodsTwo studies were conducted using adult male Sprague Dawley rats. The first study (N = 16) exposed rats to either air or vapourized high-THC cannabis flower three times a day for seven days using a Volcano vapourizer, followed by intraperitoneal administration of the CB1 antagonist SR141716A (3 mg/kg). The second study (N = 24) included two air controls and two cannabis groups, with one of each receiving either saline or SR141716A. Behavioural assessments included triad measurements to confirm the cannabis effect, along with withdrawal assessment via a sucrose preference test and somatic signs 30 minutes following rimonabant administration. ResultsRepeated cannabis vapour exposure produced reduced locomotor activity, hypothermia, and increased tail-flick latency. Rimonabant administration precipitated withdrawal characterized by increased total withdrawal scores and somatic signs, including blinking, body shakes/tremors, and grooming-related behaviours. Behavioural network analyses revealed substantial reorganization of behavioural transition structure during both chronic cannabis exposure and withdrawal. Chronic cannabis exposure was associated with reduced network modularity, a condensed behavioural repertoire, and altered behavioural centrality measures. At the same time, precipitated withdrawal further increased the influence of exploratory behaviours, particularly sniffing, and reduced the network prominence of locomotor-associated behaviours, such as walking, beyond that detected using conventional behavioural measures alone. ConclusionChronic exposure to vapourized cannabis flower followed by CB1 receptor antagonism produces reliable withdrawal symptoms in rats. Behavioural network analyses further reveal that cannabis exposure and withdrawal are both associated with widespread reorganization of behavioural dynamics, suggesting that withdrawal alters not only individual behaviours but also the structure of behavioural transitions. These findings establish a translational model of cannabis withdrawal using inhaled cannabis flower vapour and identify behavioural network analysis as a sensitive approach for characterizing withdrawal-related behavioural states.

RationaleAlcohol use disorder is defined by drinking alcohol despite knowledge of negative consequences, often referred to as aversion-resistant drinking (ARD). The dorsomedial (DMS) and dorsolateral striatum (DLS) are necessary for goal-directed and habitual action selection, respectively. Leading hypotheses posit that once drug use becomes compulsive, DMS dependence degrades while DLS dependence increases. This shift may be mediated by changes in synaptic weights from glutamatergic inputs. ObjectivesUsing a combination of western-blot, micro-injections, and ex-vivo electrophysiology, we investigated the role of -Amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors AMPAR, which drive glutamatergic transmission, during quinine-adulterated alcohol (QuA) drinking in the DMS and DLS across the development of ARD. ResultsWe found that AMPAR subunit composition and function change in the DMS across the development of ARD whereby, calcium permeable (CP) - AMPARs drive behavior. Western blots revealed a negative relationship between DMS GluA1 and QuA drinking in aversion-sensitive mice and positive relationships between DMS or DLS GluA1/A2 ratios and QuA drinking in ARD mice. DMS CP-AMPAR antagonism caused an increase in QuA drinking suggesting that CP-AMPARs in the DMS prevent ARD. Ex-vivo electrophysiology of DMS spiny projection neurons (SPNs) revealed that ARD mice had a greater rectification index than aversion-sensitive mice indicating that SPNs in the DMS express more CP-AMPARs following the development of ARD. ConclusionsThese data provide evidence that repeated alcohol binges alter DMS CP-AMPAR activity, where initial DMS activity acts to prevent ARD but after repeated binges that result in ARD, DMS SPNs recruit CP-AMPARs.

Food addiction (FA) has been proposed as a phenotype sharing features with substance use disorders. Despite increasing recognition of food addiction as a behavioral phenotype with features overlapping substance use disorders, little is known about its prevalence or clinical significance among individuals with alcohol use disorder (AUD). Objective: To examine the prevalence of FA and to evaluate demographic, psychological, and alcohol-related correlates in individuals with AUD. Design, Setting, and Participants: This cross-sectional analysis included 743 adults with AUD who were either treatment seeking (Tx) (n = 534) for AUD and were enrolled in an inpatient program at the National Institutes of Health Clinical Center or not treatment-seeking (non Tx) (n = 209). Main Outcomes and Measures: FA symptoms were assessed using the Yale Food Addiction Scale, with >=2 symptoms categorized as FA in this report. Multivariable logistic regression models adjusted for age, education, and income were conducted separately within each cohort. Results: Among 743 adults with AUD, 238 (32.1%) met criteria for FA symptoms, with similar prevalence among Tx (32.6%) and nonTx (30.6%) participants despite marked differences in clinical characteristics. Across both cohorts, FA was independently associated with higher body mass index, greater psychological distress, and greater alcohol dependence severity. Childhood trauma and poorer sleep quality were additionally associated with FA among treatment-seeking participants, whereas alcohol-related measures differed according to treatment status. Conclusions and Relevance: FA was common among adults with AUD and was associated with greater psychological, behavioral, and metabolic burden regardless of treatment-seeking status. These findings suggest that FA identifies a clinically meaningful subgroup of individuals with AUD who may benefit from more comprehensive assessment and integrated treatment approaches.

Adolescence and early adulthood are marked by rapid neurobehavioral development in reward and decision-making processes, coinciding with the initiation and escalation of alcohol use. While adolescent and young adulthood alcohol initiation is not atypical, adult trajectories diverge: some individuals reduce or discontinue use, whereas others escalate to more frequent or problematic patterns leading to substance use disorders. Corticostriatal circuits, including the ventral striatum (nucleus accumbens; NAcc) and dorsal striatum (caudate and putamen), support reward processing, goal-directed behavior, and habit formation, and are thought to contribute to distinct stages of alcohol use. Yet, how the normative maturation of these circuits relates to alcohol initiation and the transition to habitual consumption remains unclear. We used data from the National Consortium on Alcohol and NeuroDevelopment in Adolescence and Adulthood (NCANDA-A) cohort (822 participants, baseline ages 12 - 22 years old, 1 - 9 visits per participant, 4,356 total visits), a large multisite longitudinal neuroimaging sample spanning adolescence to young adulthood. We observed that rsfMRI functional connectivity (FC) patterns varied systematically across striatal subdivisions: NAcc FC followed an inverted U-shaped trajectory, peaking during adolescence; while caudate and putamen FC showed monotonic decreases with age. Adolescent peak NAcc connectivity was associated with alcohol use initiation, while a lack of normative decrease in putamen connectivity was linked to more frequent alcohol use in adulthood. Together, results suggest that the maturation of reward processing circuitry may support alcohol initiation, while a lack of habit system specialization may contribute to continued alcohol use, with potential implications for the timing of interventions aimed at limiting at-risk drinking.

Addiction is a complex and heritable trait which progresses through several developmental stages, each of which is presumably influenced by multiple partially overlapping genetic factors. Cocaine initially produces rewarding effects, followed by aversive effects including anxiety, craving, anhedonia, and withdrawal. These aversive effects have been suggested to contribute to the etiology of cocaine use disorders (CUD), as repeated exposure is thought to desensitize the rewarding effects and sensitize the aversive effects through a process involving both aberrant reward-based learning and aberrant avoidance-based learning. We examined the genetic basis of aversion learning using both food-based and cocaine-based behavioral assays in outbred Heterogenous Stock (HS) rats. A total of 1,074 HS rats (35.3% male) underwent runway operant cocaine-seeking, food-based progressive ratio and punishment testing, and locomotion testing. These phenotypes were significantly heritable (with h2 estimates as high as 0.307) and identified significant (p < 0.05) genetic loci related to avoidance-based learning including from the punishment task on Chromosomes 2, 3, 5, and 6, and the cocaine-operant runway latency task on Chromosome X. 172 positional candidate genes were identified from significant and suggestive loci, including Cdh10, Cdh12, Cdh18 which have previously been associated with smoking initiation from human GWAS, Adcy3, Cfap206, and Drc1 which are associated with primary neuronal cilia, as well as SNPs associated with novelty-related and social interaction phenotypes in independent samples of HS rats. Our results suggest that these aversion learning phenotypes are themselves complex heritable traits influenced by multiple genetic loci, which may pleiotropically affect other aspects of addiction biology.

Quantifying decision-making in experimental settings that mimic real-world conditions may provide insights into mechanisms underlying addiction. This study developed a computational model of opioid-seeking behavior. Out-of-treatment persons who regularly used heroin were stabilized on buprenorphine 8mg/day to minimize opioid withdrawal. Across programmatically-linked studies, three experimental conditions presented differing money vs. opioid unit amounts that could be earned per trial ($2 vs. 1-mg hydromorphone, n=23; $2 vs. 2-mg hydromorphone, n=36; $4 vs. 2-mg hydromorphone, n=24), controlling other factors. Progressive ratio schedules on each choice option required increasing effort across trials to earn the same amount. Trial-level outcomes were decision latency and choice on each option, and session-level outcomes were drug-money latency and breakpoint difference scores. A Markov computational model was used to predict the probability of choosing the same option as the previous trial (vs. switching). Model inputs included effort discrepancy (between earning the same vs. other commodity on next choice) and logarithm of the ratio of decisional speed (current vs. previous choice). Participants who more rapidly chose hydromorphone vs. money made more consecutive drug choices and expended greater effort earning hydromorphone. First-trial hydromorphone choice predicted continued effortful opioid-seeking. Participants repeated choices on 80% of trials; the model accurately predicted stick vs. switch behavior on 93% of trials. Participants typically repeated choices when faced with lower effort discrepancies and higher hydromorphone dose (2-mg vs. 1-mg). In conclusion, a Markov computational model accurately predicted effortful behavior in a choice paradigm that mimics real-world decisions between opioid and nondrug reinforcers.