ArticleDrug and alcohol dependence2020
Interactions between opioids and cannabinoids: Economic demand for opioid/cannabinoid mixtures.
Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Preclinical abuse potential testing using behavioral economics and drug self-administration demand-curve analysis: A strategy to improve resolution of drug stratification for regulatory control.Pharmacological reviews · 2026Review
- Effects of Δ⁹-tetrahydrocannabinol (THC), cannabidiol (CBD), and THC/CBD mixtures on fentanyl versus food choice in rhesus monkeys.Drug and alcohol dependence · 2023Article
- Effects of buprenorphine, methadone, and cariprazine on economic choice between remifentanil and food in squirrel monkeys.Addiction neuroscience · 2023Article
- Detection of AP-237 and synthetic cannabinoids on an infused letter sent to a German prisoner.Drug testing and analysis · 2022Article
- Self-administration of inhaled delta-9-tetrahydrocannabinol and synthetic cannabinoids in non-human primates.Experimental and clinical psychopharmacology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOpioid abuse remains a significant public health challenge. With continuing emergence of novel psychoactive substances (e.g., synthetic cannabinoids found in "K2" or "spice" preparations), the co-administration of opioids and other novel drugs is likely to become more prevalent, which might increase the risk for abuse and other adverse effects. This study examined whether the synthetic cannabinoid receptor agonist JWH-018 alters the reinforcing effectiveness of the mu opioid receptor agonist remifentanil in rhesus monkeys (n = 4) using economic demand analyses.
methodsLever presses delivered intravenous infusions of a drug or drug mixture according to a fixed-ratio schedule. For each condition, the ratio progressively increased in quarter-log unit steps across sessions yielding a demand curve: consumption (infusions obtained) was plotted as a function of price (fixed-ratio value).
resultsWhen available alone, remifentanil (0.00032 mg/kg/infusion) occasioned the highest consumption at the lowest cost and highest essential value, while JWH-018 (0.0032 mg/kg/infusion) alone occasioned lower unconstrained demand and essential value. Unconstrained demand for a mixture of remifentanil and JWH-018 was lower than for remifentanil alone, but essential value of the mixture was not significantly different from that of remifentanil alone.
conclusionThese data indicate that synthetic cannabinoids such as JWH-018 might alter some aspects of opioid self-administration (i.e., decreased consumption at the lowest price) but do not enhance reinforcing effectiveness as measured by sensitivity of consumption to increasing costs. Opioid/cannabinoid mixtures do not appear to have greater or lesser abuse potential compared with opioids alone.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.