Justin Strickland
@juststrickland.bsky.social
220 followers 210 following 1 posts
Behavioral Pharmacologist/Associate Professor at Hopkins SoM and Recreational Scurrier (he/him)
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Reposted by Justin Strickland
drjthrul.bsky.social
1/5 New paper on medicinal cannabis: We followed adults with clinically significant anxiety & depression who were new to medicinal cannabis using 8 weeks of EMA and 6 months of longitudinal follow up and saw significant and clinically meaningful benefits.
authors.elsevier.com/c/1lQBfbXYiy...
juststrickland.bsky.social
Excited to join the team over at UMB this December!
kahlertumsom.bsky.social
We are excited to welcome Justin Strickland, PhD, as an Associate Professor this December!

Dr. Strickland's work focuses on developing novel interventions for substance use and SUD using translationally relevant designs.

Join us in welcoming him to our team!

@juststrickland.bsky.social
Graphic welcoming Justin Strickland, PhD
Reposted by Justin Strickland
drjkhokhar.bsky.social
The 2025 GRC on Cannabinoid Function in the CNS: Cannabinoid Neurobiology: Bridging Basic Science, Big Data, Biomarkers and Bedside Applications Across the Lifespan final program is here! Spots are going fast! Register soon for trainee talks! Reshare please! grc.org/cannabinoid-...
Reposted by Justin Strickland
ericrpedersen.bsky.social
We made a mock #cannabis dispensary for @iasatusc.bsky.social to use for research. Check out a detailed description of how we did it, including interviews w/ dispensary staff and our plan for stocking with product packaging. @uscpsychiatry.bsky.social
publications.sciences.ucf.edu/cannabis/ind...
Reposted by Justin Strickland
eurbehavpharm.bsky.social
Our second parallel session features this first symposium explores the various effects of manipulating the dopamine transporter system and highlights the therapeutic potential of these manipulations chaired by @mercecorrea.bsky.social. #EBPS2025
Reposted by Justin Strickland
eurbehavpharm.bsky.social
Finally, our third symposium in this parallel session, chaired by @juststrickland.bsky.social , explores cognitive and computational approaches to behaviour in substance use and related conditions. #EBPS2025
Reposted by Justin Strickland
apadivision50.bsky.social
We want to follow #CPA2025 attendees. Will we be seeing you in PVD this week? Like this post and we’ll be sure to follow.
Reposted by Justin Strickland
mulhollandlab.bsky.social
The Charleston Alcohol Research Center has an opening for a #postdoctoral fellowship on the #NIAAA T32 training grant - please spread the word and contact me if interested in working in beautiful Charleston, SC @drjrink.bsky.social
Reposted by Justin Strickland
jeremyhogeveen.bsky.social
Importantly, Ethan is on the postdoc market at the moment! He's learned *A TON* of skills during his grad training (EEG, FMRI, fMRI-guided TBS, and computational modeling) and I think he will make an excellent postdoc. Let me know if you are looking for someone!
jeremyhogeveen.bsky.social
New computational modeling+fMRI manuscript from lab grad student Ethan Campbell: "Dorsal-Ventral Reinforcement Learning Network Connectivity and Incentive-Driven Changes in Random Exploration" www.jneurosci.org/content/jneu...
www.jneurosci.org
Reposted by Justin Strickland
Reposted by Justin Strickland
jonasdora.bsky.social
I'm excited to share a new preprint: In a novel experimental paradigm, we found evidence that stress induces a computational bias during alcohol-related decision-making in favor of alcohol, but this bias was only sometimes strong enough to overcome competing considerations (e.g., taste preferences).
psyarxivbot.bsky.social
How people decide to consume (more) alcohol when feeling stressed: http://osf.io/c7q9p/
Reposted by Justin Strickland
cdelawalla.bsky.social
Merry Christmas and Happy Hanukkah from @lluaces.bsky.social and I!

“Informed” consent? Ethical considerations for clinicians using therapy-matching platforms.

psycnet.apa.org/record/2025-...
APA PsycNet
psycnet.apa.org
Reposted by Justin Strickland
jsadjournal.bsky.social
Efficiently Quantifying Egocentric Social Network Cannabis Use: Initial Psychometric Validation of the Brief Cannabis Social ... (new @jsadjournal.bsky.social)
@samuelacuff.bsky.social @juststrickland.bsky.social @addpsychpodcast.bsky.social @james-g-murphy.bsky.social
www.jsad.com/doi/full/10....
Efficiently Quantifying Egocentric Social Network Cannabis Use: Initial Psychometric Validation of the Brief Cannabis Social Density Assessment: Journal of Studies on Alcohol and Drugs: Vol 85, No 6
Objective: Social environment is a key determinant of substance use, but cannabis-related social network analysis is not common, in part because of the assessment burden of comprehensive egocentric social network analysis. Method: The current pre-registered secondary analysis assessed the psychometric properties (i.e., convergent, criterion-related, incremental validity) of the Brief Cannabis Social Density Assessment (B-CaSDA) in a cross-sectional sample of adults who use cannabis (N = 310) using a survey-based design. The B-CaSDA assesses the quantity and frequency of cannabis use for the respondent's four closest (nonparent) relationships. Results: Ego cannabis use severity was elevated for each additional person who used cannabis at all or daily in the individual's social network. B-CaSDA indices (i.e., frequency, quantity, total score) were positively correlated with cannabis consumption, cannabis use severity indicators, and established risk factors for harmful cannabis use. B-CaSDA indices also discriminated between those above and below a clinical cutoff on the Cannabis Use Disorder Identification Test–Revised (CUDIT-R). Finally, in omnibus models that included common risk factors for cannabis use severity, the B-CaSDA quantity index contributed additional variance when predicting CUDIT-R total score, and B-CaSDA frequency contributed additional variance in predicting the CUDIT-R quantity–frequency subscale. Conclusions: The results suggest that the B-CaSDA has the potential to expand social network research on cannabis use and misuse by increasing its assessment feasibility in diverse designs.
www.jsad.com