I read with great interest the article by Cosci et al in a recent issue of your
journal.1 The article provides for
highly interesting reading and is very thought-provoking. Interestingly, the past few
years have seen the emergence of extensive data that establish a close association
between the A118G single nucleotide polymorphism of the OPRM1 gene and opioid, alcohol,
and nicotine dependence.A higher threshold to pain has been observed in individuals with the A118G variant.2 Not surprisingly, Tan et al and Kapur
et al have demonstrated a close association between the A118G variant and heroin
dependence.3,4 Altered modulation of protein kinase A is responsible
for this close association between the A118G variant of the OPRM1 gene and heroin
dependency.5 A recent Japanese
study has demonstrated that the presence of the A118G polymorphism is associated with an
increased risk of addiction to alcohol.6 Similarly, a recent Swedish study has demonstrated that the A118G variant
is associated with an 11% risk of ethanol dependency.7 The treatment response to naltrexone in individuals
with alcohol dependency varies greatly, depending on the presence or absence of the
A118G variant.8 In females, there is a
strong association between nicotine reinforcement and the A118G haplotype.9The above examples illustrate a close association between A118G polymorphism and drug
dependence. Hopefully, the coming years will see increased clinical application of this
close association in identifying and effectively treating individuals with this
polymorphism.We thank Dr Kapoor for appreciating our review on nicotine dependence and
psychological distress, and having taken it as a cue to reflect on the possible
association between the A118G single nucleotide polymorphism of the OPRM1 gene and
drug dependence. The literature offers several sets of data on this issue but,
unfortunately, only a small number of studies have focused on nicotine dependence.
For instant, Ray et al recently noted that human mu opioid receptor (OPRM1A118G)
polymorphism is associated with brain μ opioid receptor binding in
smokers.1 Further, Falcone et
al found increased availability of the μ opioid receptor in the amygdala of
smokers that could be contributory, emphasizing the motivation to smoke to obtain
negative affective relief.2Of course, we really hope that future investigations will clarify the possible
association between smoking and genes, and as a further step, lead to the
development of novel therapeutics. However, it is noteworthy that we are constantly
reminded that genetics will transform and improve our practice, but nothing has
really come in the past two decades.3,4 Thus,
psychopathology5 and clinical
judgment,6 still
underappreciated as scientific tools but commonly used in clinical practice, can be
a valid alternative approach to make the correct diagnosis and choose a tailored
treatment for drug dependence, in particular for nicotine dependence. Indeed, good
organization of clinical information (encompassing, eg, psychological distress and
psychological well being), the use of a transfer station with repeated evaluations
instead of diagnostic endpoints,7
and staging methods8 may guide
assessment, treatment choice, and planning of follow-up visits or
interventions.7
Authors: Mary Falcone; Allison B Gold; E Paul Wileyto; Riju Ray; Kosha Ruparel; Andrew Newberg; Jacob Dubroff; Jean Logan; Jon-Kar Zubieta; Julie A Blendy; Caryn Lerman Journal: Psychopharmacology (Berl) Date: 2012-03-03 Impact factor: 4.530
Authors: Riju Ray; Kosha Ruparel; Andrew Newberg; E Paul Wileyto; James W Loughead; Chaitanya Divgi; Julie A Blendy; Jean Logan; Jon-Kar Zubieta; Caryn Lerman Journal: Proc Natl Acad Sci U S A Date: 2011-05-16 Impact factor: 11.205
Authors: Roger B Fillingim; Lee Kaplan; Roland Staud; Timothy J Ness; Toni L Glover; Claudia M Campbell; Jeffrey S Mogil; Margaret R Wallace Journal: J Pain Date: 2005-03 Impact factor: 5.820
Authors: R Ray; C Jepson; F Patterson; A Strasser; M Rukstalis; K Perkins; K G Lynch; S O'Malley; W H Berrettini; C Lerman Journal: Psychopharmacology (Berl) Date: 2006-09-08 Impact factor: 4.530
Authors: Gavin Bart; Mary Jeanne Kreek; Jurg Ott; K Steven LaForge; Dmitri Proudnikov; Lotta Pollak; Markus Heilig Journal: Neuropsychopharmacology Date: 2005-02 Impact factor: 7.853