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DTSTART;TZID=America/New_York:20230412T093000
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UID:3625-1681291800-1681302600@addiction.rutgers.edu
SUMMARY:SSW Webinar: The Opioid Crisis in NJ: Current Trends and Evidence-Based Treatment Options
DESCRIPTION:This interactive webinar will discuss the latest developments and trends regarding natural opiates\, semi-synthetic opioids\, and synthetic opioids. Participants will be able to identify national and local NJ trends with regards to prescribing practices and new legislation\, opioid overdoses and trends with opioid use. Participants will be able to distinguish the difference between which drugs are considered naturally occurring opiates\, which are considered semi-synthetic opioids and which are considered synthetic opioids. Participants will be introduced into the assessment of and treatment of Opioid Use Disorders via the DSM 5 criteria\, the latest nationally recognized medicated assisted treatment and the non-medication assisted treatment approaches when working with clients. Participants will be able to identify three different medicated assisted treatments (MAT)\, and discussion of medicinal marijuana being added as an MAT option. Webinar participants will be introduced to a harm reduction treatment paradigm and will be able to identify at least 3 different harm reduction principles when working with clients. Finally\, participants will engage in an interactive case that will develop throughout the webinar and have different objectives (e.g.\, assessing a proper level of care\, and then incorporating a harm reduction treatment orientation with the client in regards to their MAT decision process). \n\n\n\nInstructor: \nGlenn Duncan\, LPC\, LCADC\, CCS\, ACS\n\n\nDate: \nWednesday\, April 12\, 2023\n\n\nTime: \n9:30 am – 12:30 pm ET\n\n\nLocation: \nZoom (Interactive Webinar)\nOnline Live Webinar\, Online\, NJ\n\n\n\n  \nFor more information and registration: Click here
URL:https://addiction.rutgers.edu/event/ssw-webinar-the-opioid-crisis-in-nj-current-trends-and-evidence-based-treatment-options-2/
LOCATION:Virtual
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DTSTART;TZID=America/New_York:20230412T100000
DTEND;TZID=America/New_York:20230412T110000
DTSTAMP:20260503T114015
CREATED:20230410T203101Z
LAST-MODIFIED:20230410T203101Z
UID:3920-1681293600-1681297200@addiction.rutgers.edu
SUMMARY:CCNP Webinar: Active Learning Impairments in Substance Use Disorders when Solving the Explore-Exploit Dilemma: Longitudinal Stability\, Symptom Prediction\, and Replication
DESCRIPTION:CCNP Seminar: Active Learning Impairments in Substance Use Disorders when Solving the Explore-Exploit Dilemma: Longitudinal Stability\, Symptom Prediction\, and Replication \nRyan Smith\nLaureate Institute for Brain Research\, University of Tulsa \n\nActive Learning Impairments in Substance Use Disorders when Solving the Explore-Exploit Dilemma: Longitudinal Stability\, Symptom Prediction\, and Replication \nComputational modeling is a promising approach for parsing behavioral processes and dysfunctions in individuals with substance use disorders (SUDs)\, but it is unclear how much these processes change during the recovery period. In this talk\, I will describe a study in which we assessed baseline and 1-year follow-up data on a sample of healthy controls (HCs; N = 48) and treatment-seeking individuals with one or more SUDs (alcohol\, cannabis\, sedatives\, stimulants\, hallucinogens\, and/or opioids; N = 83) who completed a standard ‘three-armed bandit’ task designed to assess explore-exploit behavior. I will also describe a pre-registered replication study with a new sample of 168 individuals with SUDs and 99 HCs. Computational models – based on the notion of active learning – were fit to behavior on the task. Relative to HCs\, participants with SUDs were found at baseline to show slower learning rates in response to negative outcomes and less precise action selection. We then repeated these analyses when the same individuals returned and re-performed the task 1 year later to assess the stability of these baseline differences. We also examined whether baseline modelling measures could predict symptoms at follow-up. Bayesian analyses indicated that: (a) group differences in learning rates were stable over time (posterior probability = 1); (b) relationships between model parameters at baseline and follow-up were all significant and ranged from small to moderate (.25 < ICCs < .54); and (c) learning rates and/or information-seeking values at baseline were associated with substance use severity at 1-year follow-up in stimulant and opioid users (.36 < rs < .43\, .002 < ps < .02). Differences in learning rates for losses replicated in the second sample\, and model parameters could jointly differentiate specific substance disorders when combining samples. These findings suggest that processing dysfunctions involving learning to arbitrate between exploration and exploitation may show some stability throughout the recovery period. At the same time\, individual computational differences at baseline had some predictive value for changes in substance use severity. Taken together\, these results suggest active learning models may allow measurement of trait dysfunctions that could have predictive utility for substance use severity. \n  \nLocation/Logistics \n\nWednesday\, April 12th\, 10-11am EST\nZoom link: https://princeton.zoom.us/j/6397147065\n\n\nFYI\, abstracts for previous talks are posted on the CCNP website: ccnp.princeton.edu. A list of upcoming seminars\, job announcements\, and other info about CCNP are available there as well.
URL:https://addiction.rutgers.edu/event/ccnp-webinar-active-learning-impairments-in-substance-use-disorders-when-solving-the-explore-exploit-dilemma-longitudinal-stability-symptom-prediction-and-replication/
LOCATION:Virtual
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230412T180000
DTEND;TZID=America/New_York:20230412T190000
DTSTAMP:20260503T114015
CREATED:20230411T210857Z
LAST-MODIFIED:20230411T210857Z
UID:3931-1681322400-1681326000@addiction.rutgers.edu
SUMMARY:GSAPP Center for Psychological Services - RU Ready to Quit Smoking Support Meeting
DESCRIPTION:RU Ready to quit smoking? GSAPP’s Center for Psychological Services (CPS) is here to offer support to all students\, faculty\, and staff. Join their meeting on Wed.\, April 12th at 6:00PM; it is completely cost-and judgement-free! \nTo register: https://buff.ly/43fEhZB
URL:https://addiction.rutgers.edu/event/gsapp-center-for-psychological-services-ru-ready-to-quit-smoking-support-meeting/
ORGANIZER;CN="Rutgers Graduate School of Applied and Professional Psychology":MAILTO:ce@gsapp.rutgers.edu
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