Med edica cations tions wi with th Abus use e Pote tent - - PowerPoint PPT Presentation

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Med edica cations tions wi with th Abus use e Pote tent - - PowerPoint PPT Presentation

Med edica cations tions wi with th Abus use e Pote tent ntial ial for r Trea eatment tment of Alco cohol hol Use Di e Disorder der (A (AUD) D) Raye Z. Litten ten, , Ph.D. Acting Director Division of Medications Development


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SLIDE 1

Med edica cations tions wi with th Abus use e Pote tent ntial ial for r Trea eatment tment of Alco cohol hol Use Di e Disorder der (A (AUD) D)

Raye Z. Litten ten, , Ph.D.

Acting Director Division of Medications Development Division of Treatment and Recovery Research National Institute on Alcohol Abuse and Alcoholism (NIAAA) February 19, 2020

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SLIDE 2
  • Evaluated over 30 different medications/classes of

medications

  • Explored variety of druggable targets
  • Small effect size

Ph Phase se 2/3 /3 Ph Pharma rmacother cotherapy y Cli lini nical cal Trials ials for

  • r AUD

D (Past ast 30 Yea ears) s)

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SLIDE 3

Me Menu of Effica icaciou cious s Me Medica dicati tions

  • ns to
  • Trea

eat t AUD

FDA Appr proved ed Med edica cati tions

  • ns
  • disulfiram, oral and extended-release injectable

naltrexone, acamprosate

Off-La Labe bel l Med edica cati tions

  • ns
  • nalmefene (approved in Europe), topiramate,

varenicline, gabapentin, baclofen (approved in France)

Pr Promising ing Med edica cations tions

  • ondansetron, doxazosin, ANS-6637 (ALDH2

inhibitor), PF-05190459 (ghrelin receptor inverse agonist), oxytocin

These medications have no abuse potential

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SLIDE 4
  • vasopressin 1B receptor antagonist
  • hypocretin (orexin) receptor antagonist
  • nociception/orphanin FQ (NOP) receptor antagonist
  • kappa opioid receptor antagonist
  • corticotropin releasing factor (CRF)1 antagonist
  • glucocorticoid receptor antagonist
  • glutamate NMDA modulator
  • cannabinoid receptors: FAAH inhibitor and MAGL inhibitor
  • potassium channel activator
  • nicotinic α3β4 partial agonist and α7 positive allosteric modulator
  • phosphodiesterase 4 inhibitor
  • GABAA receptor modulator
  • GABAB receptor agonist
  • glucagon-like peptide 1 (GLP-1) agonist
  • rapamycin complex 1 (mTORC1) inhibition
  • actin cytoskeleton (ACTB) modulator
  • histone deacetylase (HDAC) and DNA methyltransferase (DNMT) inhibitors
  • adrenoceptor beta antagonist
  • agmatinase inhibitor

Pr Prom

  • mis

ising ing Tar argets ets for

  • r AUD

UD

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SLIDE 5

New Appr proac

  • aches

hes for

  • r AUD

D Trea eatment tment

  • Making behavioral therapies more

assessible by developing computerized, web-based, and mobile technology for different behavioral therapies

  • Develop new neuromodulation techniques

– Transcranial magnetic stimulation – Deep brain stimulation – Transcranial electrical stimulation – Real-time neurofeedback

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SLIDE 6

Do we want to test medications with abuse potential to treat AUD?

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SLIDE 7

What t is Dr Drug g Abus use e an and Abus use e Pote tential tial?

  • Drug Abuse

se is the intentional, non-therapeutic use of a drug to achieve a desired psychological or physiological effect

  • Abuse

se Poten tentia ial refers to the likelihood that abuse will

  • ccur with a drug
  • See FDA Assessment of Abuse Potential of Drug:

Guidance for Industry

https://www.fda.gov/media/116739/download

  • DEA has classified 5 distinct categories or schedules

for drugs based on their abuse potential and acceptable medical use. Schedule I (high potential for abuse) to Schedule V (low potential for abuse)

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SLIDE 8

Risk Co Contin tinuum um for Med edica cations tions wi with th Abus use e Pote tential tial

  • No Risk

sk of Abuse se

– FDA-approved meds for AUD: naltrexone, acamprosate

  • Low

w Risk k of Abuse se

– Schedule IV and V: pregabalin – Schedule I –III drugs given under controlled conditions: ketamine

  • Moder

derate te Risk k of Abuse se

– Schedule III: buprenorphine, anabolic steroids

  • High

h Risk k of Abuse se

– Schedule I and II: peyote (mescaline), psilocybin, LSD

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SLIDE 9

NIAA AAA-Su Supp pported ted Cl Clinica cal l Trial al of Ket etam amine ine (P (PI: Da Dakwar ar)

  • Randomized, placebo-controlled 12-week trial on 120

patients with AUD

  • Individuals receive two 52-minute infusions of either

ketamine (0.71 mg/kg) or active control midazolam (0.0125 mg/kg) during weeks 1 and 6

  • Infusions conducted in highly monitored setting
  • Behavioral interventions: mindfulness-based relapse

prevention + motivation enhancement therapy vs. medical management (control)

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SLIDE 10

“Go/No Go” Decision to Test Me Medica dicati tions

  • ns wit

ith h Abus use e Pot

  • tenti

ential al

Determine risk/benefit ratio of these medications

  • Efficacy
  • Safety
  • “Heterogeneity factor”
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SLIDE 11

Benefits

  • New mechanism
  • New efficacious medication
  • No serious side-effects

“Go/No Go” Decision to Test Me Medica dicati tions

  • ns wi

with h Abuse use Pot

  • tenti

ential al

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SLIDE 12

Risks

  • Individual safety

– Increased risk of addiction – Short- and long-term adverse reactions from a psychotropic medication – Acute/protracted withdrawal symptoms – Increased risk for psychiatric illness

  • Public safety

– Increased illicit use among the public

“Go/No Go” Decision to Test Me Medica dicati tions

  • ns wit

ith h Abus use e Pot

  • tenti

ential al

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SLIDE 13

“Heterogeneity Factor” (gray area)

  • Heterogeneity exists in complex diseases: e.g.,

AUD, substance use disorders, depression, anxiety disorders, cancer, high blood pressure

  • Medications’ efficacy and side-effects vary among

individuals with AUD

  • Difficult to determine for whom medications will

work and who will suffer side-effects

“Go/No Go” Decision to Test Me Medica dicati tions

  • ns wit

ith h Abus use e Pot

  • tenti

ential al

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SLIDE 14

If we decide to conduct clinical trials on medications with abuse potential to treat AUD, what two factors are important to accurately determine their efficacy and safety?

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SLIDE 15

Two

  • Fac

actor tors s th that t Inf nfluence luence Trea eatment tment Out utcomes comes in in Alc lcohol

  • hol Cli

linical nical Trials rials

  • Placebo effect

– More difficult to evaluate the efficacy and safety of candidate compound

  • Heterogeneity

– Identifying who will response favorably (both efficacy and safety) to medication – precision medicine

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SLIDE 16
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SLIDE 17

2 4 6 8 10 12 14 16

B13 B12 B11 B10 B9 B8 B7 B6 B5 B4 B3 B2 B1 1 2 3 4 5 6 7 8 9 10 11 12

Mean Study Week

Dri Drink nks P s Per Day (i er Day (in n Plac Placebo bo Gr Grou

  • up)

p)

Treatment Start In-Clinic Screen Phone Call Initiation

Placebo Effect

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SLIDE 18
  • Present in clinical trials for a variety of medical disorders:

AUD, pain, depression, anxiety, cardiovascular diseases, immune system

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SLIDE 19

St Strate tegi gies es to to Red educe uce Pl Plac acebo

  • Ef

Effec ect t in Alcohol hol Clinical al Trials

  • Develop pre-randomization drinking requirements to

reduce placebo responders

  • Minimize the intensity of the behavioral platform
  • Do not overload assessment instruments. Use only

what is needed to measure efficacy, safety, and precision medicine

  • For conducting trials on medications that are

psychoactive, administer a placebo that is also psychoactive to minimize expectancy effects

  • Exploring genetic basis of placebo responders
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SLIDE 20

Advanc ance e Pr Precision ecision Med edici icine ne (P (Per ersonaliz sonalized ed Med edicine) icine)

We can improve our evaluation

  • f the risk/benefit ratio with

precision medicine by determining who will respond and who will suffer an adverse event

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SLIDE 21

Prec ecis ision ion Me Medici dicine ne

  • Benefits of precision medicine

– Increase effect size of experimental medications in alcohol clinical trials: find subgroups whom treatment works best – Allows clinicians to deliver medications in a more efficient, effective, and safer manner – Understand complex mechanisms underlying disease

  • NIH’s All of Us program: Data on one million individuals
  • Because of AUD complexity, most likely, multiple factors

need to be applied with new novel computational analytical approaches

Collins and Varmus, N Engl J Med 372:793-795 2015 Hou et al., Alcohol Clin Exp Res 39:1253-1259, 2015

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SLIDE 22

Pr Preci ecision sion Me Medicine dicine

Algori

  • rith

thm: : Co Combina ination tion of Fac acto tors

  • Individual characteristics

– Demographics, family history, AUD severity, psychiatric/medical comorbidity

  • Self-reports & neuropsychological tasks

– Amount and pattern of drinking, depression, anxiety, sleep, delay discounting

  • Objective biomarkers

– Signature profile and integration of “multi–omics” – Brain imaging: excitation/inhibition of circuits, resting-state connectivity, endogenous metabolites – Electrophysiological variations (TMS/EEG) – Cell imaging

  • New biological mechanisms

– Human-induced pluripotent stem cells (hiPSC)-based models

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SLIDE 23

Prec ecis ision ion Me Medici dicine ne

  • Progress has been made in pharmacogenomics

that can influence the pharmacokinetics of medications

  • For example – metabolism of codeine

– CYP2D6 converts codeine into morphine – Up to 10% of the population have an underperforming form of the CYP2D6 gene or missing all together – Up to 2% of population have extra copies of CYP2D6

  • verproducing the enzyme, making too much morphine,

causing toxic effects such as nausea, suppressed breathing (Maron, 2016)

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SLIDE 24

Co Conc nclusions lusions

  • Important to define risk/benefit ratio of medications with

abuse potential

  • Heterogeneity among patients produces a gray area in

regard to efficacy and safety

  • Advancing precision medicine and diminishing placebo

effect in clinical trials will help better define risk/benefit ratio

  • Different perspectives among stakeholders

– NIH Institutes – Researchers – Pharma – FDA – Healthcare professionals – Patients – Third-party payers