scholarly journals MDPV High‐responder Phenotype as a Tool to Evaluate Candidate Medications for Stimulant Use Disorder

2021 ◽  
Vol 35 (S1) ◽  
Author(s):  
Michelle Doyle ◽  
Ayon Bhattacharya ◽  
Kenner Rice ◽  
Gregory Collins
Keyword(s):  
2020 ◽  
Author(s):  
Genevieve Fullerton Dash ◽  
Nicholas G. Martin ◽  
Arpana Agrawal ◽  
Michael Lynskey ◽  
Wendy S. Slutske

Background. Drug classes are grouped based on their chemical and pharmacological properties, but prescription and illicit drugs differ in other important ways. Opioid and stimulant classes contain prescription and illicit forms differentially associated with salient risk factors (common route of administration, legality), making them useful comparators for examining the potential differences in the etiological influences on (mis)use of prescription and illicit drugs. Methods. 2,410 individual Australian twins (Mage=31.77 [SD=2.48]; 67% women) were interviewed about prescription misuse and illicit use of opioids and stimulants. Univariate and bivariate biometric models partitioned variances and covariances into additive genetic, shared environmental, and unique environmental influences across drug types. Results. Variation in the propensity to misuse prescription opioids was primarily attributable to genes (37%) and unique environment (59%). Illicit opioid use was attributable to shared (71%) and unique (29%) environment. Prescription stimulant misuse was primarily attributable to genes (78%) and unique environment (21%). Illicit stimulant use was influenced by genes (48%), and shared (29%) and unique environment (23%). There was evidence for genetic influence common to both stimulant types, but limited evidence for genetic influence common to both opioid types. Conclusions. Prescription opioid misuse may share little genetic influence with illicit opioid use. Future research may consider avoiding unitary drug classifications, particularly when examining genetic influences.


2021 ◽  
Vol 221 ◽  
pp. 108572
Author(s):  
Olivia Brooks ◽  
Paxton Bach ◽  
Kanna Hayashi
Keyword(s):  

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e044696
Author(s):  
Nadine Ezard ◽  
Brendan Clifford ◽  
Adrian Dunlop ◽  
Raimondo Bruno ◽  
Andrew Carr ◽  
...  

ObjectivesTo examine the safety of an agonist-type treatment, lisdexamfetamine (LDX), at 250 mg/day among adults with methamphetamine (MA) dependence.DesignA dose-escalating, phase-2, open-label, single-group study of oral LDX at two Australian drug treatment services.SettingThe study was conducted at two Australian stimulant use disorder treatment clinics.ParticipantsThere were 16 participants: at least 18 years old, MA dependent for at least the preceding 2 years using ICD-10 criteria, reporting use of MA on at least 14 of the preceding 28 days.InterventionsDaily, supervised LDX of 100–250 mg, single-blinded to dose, ascending-descending regimen over 8 weeks (100–250 mg over 4 weeks; followed by 4-week dose reduction regimen, 250–100 mg). Participants were followed through to week 12.OutcomesPrimary outcomes were safety, drug tolerability and regimen completion at the end of week 4. Participants were followed to week 12. Secondary outcomes included: change in MA use; craving; withdrawal; severity of dependence; risk behaviour; change in other substance use; medication acceptability; potential for non-prescription use; adherence and neurocognitive functioning.ResultsFourteen of 16 participants (87.5%) completed escalation to 250 mg/day. Two participants withdrew from the trial in the first week: one relocated away from the study site, the other self-withdrew due to a possible, known side effect of LDX (agitation). There was one serious adverse event of suicidal ideation which resolved. All other adverse events were mild or moderate in severity and known side effects of LDX. No participant was withdrawn due to adverse events. MA use decreased from a median of 21 days (IQR: 16–23) to 13 days (IQR: 11–17) over the 4-week escalation period (p=0.013).ConclusionsLDX at a dose of up to 250 mg/day was safe and well tolerated by study participants, warranting larger trials as a pharmacotherapy for MA dependence.Trial registration numberACTRN12615000391572.


2021 ◽  
pp. 108752
Author(s):  
Ji-Young Lee ◽  
Jae Eun Lee ◽  
Judith T. Moskowitz ◽  
Daniel J. Feaster ◽  
Torsten B. Neilands ◽  
...  

1998 ◽  
Vol 7 (4) ◽  
pp. 243-255 ◽  
Author(s):  
Alison R. Jones ◽  
John T. Pichot
Keyword(s):  

2021 ◽  
pp. 1-8
Author(s):  
Genevieve F. Dash ◽  
Nicholas G. Martin ◽  
Arpana Agrawal ◽  
Michael T. Lynskey ◽  
Wendy S. Slutske

Abstract Background Drug classes are grouped based on their chemical and pharmacological properties, but prescription and illicit drugs differ in other important ways. Potential differences in genetic and environmental influences on the (mis)use of prescription and illicit drugs that are subsumed under the same class should be examined. Opioid and stimulant classes contain prescription and illicit forms differentially associated with salient risk factors (common route of administration, legality), making them useful comparators for addressing this etiological issue. Methods A total of 2410 individual Australian twins [Mage = 31.77 (s.d. = 2.48); 67% women] were interviewed about prescription misuse and illicit use of opioids and stimulants. Univariate and bivariate biometric models partitioned variances and covariances into additive genetic, shared environmental, and unique environmental influences across drug types. Results Variation in the propensity to misuse prescription opioids was attributable to genes (41%) and unique environment (59%). Illicit opioid use was attributable to shared (71%) and unique (29%) environment. Prescription stimulant misuse was attributable to genes (79%) and unique environment (21%). Illicit stimulant use was attributable to genes (48%), shared environment (29%), and unique environment (23%). There was evidence for genetic influence common to both stimulant types, but limited evidence for genetic influence common to both opioid types. Bivariate correlations suggested that prescription opioid use may be more genetically similar to prescription stimulant use than to illicit opioid use. Conclusions Prescription opioid misuse may share little genetic influence with illicit opioid use. Future research may consider avoiding unitary drug classifications, particularly when examining genetic influences.


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