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The effects of artificially induced proestrus on heroin intake: A critical role for estradiol.

Mark A SmithSarah B EthridgeAbigail N GibsonKarl T SchmidtJessica L Sharp
Published in: Experimental and clinical psychopharmacology (2020)
Heroin intake decreases markedly during proestrus in normally cycling female rats; however, it is not known whether estradiol, progesterone, or both hormones are responsible for these decreases in heroin intake. The purpose of the present study was to examine the roles of estradiol and progesterone in heroin intake by artificially inducing a proestrus state in ovariectomized rats. To this end, ovariectomized female rats were implanted with intravenous catheters and trained to self-administer heroin (0.0075 mg/kg/infusion) on a fixed ratio (FR1) schedule of reinforcement. After 1 week of training, rats were tested at weekly intervals with estradiol (0.005 mg, sc) or vehicle 22 hr before a test session and progesterone (0.125 mg, sc) or vehicle 0.5 hr before a test session to artificially mimic the naturally occurring hormone concentrations characteristic of late proestrus. Administration of estradiol 22 hr prior to testing and progesterone 0.5 hr prior to testing significantly reduced heroin intake relative to the previous training day and vehicle control. It is interesting that this same effect was observed when only estradiol, but not progesterone, was administered. These data suggest that estradiol but not progesterone is responsible for the proestrus-induced decreases in heroin intake previously reported in normally cycling female rats. These findings differ from those reported previously with stimulants and suggest that estrogen-based pharmacotherapies may be of value to women with opioid use disorder. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Keyphrases
  • estrogen receptor
  • weight gain
  • high intensity
  • low dose
  • diabetic rats
  • clinical trial
  • high dose
  • machine learning
  • body mass index
  • deep learning
  • resistance training
  • electronic health record
  • weight loss
  • bone loss