{
"papers": [
{
"n": null,
"doi": "10.1016/j.addicn.2025.100230",
"value": "85%",
"method": "various",
"metric": "alcohol pharmacological action",
"cite_key": "Tyler2025",
"n_analyzed": null,
"text_access": "fulltext",
"n_definition": "animals or subjects",
"scope_region": "CNS",
"study_system": "rats",
"taxonomic_level": "molecular target",
"scope_population": "ethanol-exposed",
"value_source_sentence": "For Pavlovian drug discrimination (Experiment 1) and alcohol metabolism (Experiment 2), rats were fed daily to maintain 85 % of free-feeding weight.",
"experimental_conditions": "TMT exposure produced a leftward shift in the alcohol dose-response curve, indicating increased inte"
},
{
"n": 2,
"doi": "10.1016/j.alcohol.2009.09.027",
"value": "30%",
"method": "various",
"metric": "alcohol pharmacological action",
"cite_key": "Bell2009",
"n_analyzed": 2,
"text_access": "abstract_only",
"n_definition": "animals or subjects",
"scope_region": "CNS",
"study_system": "rats",
"taxonomic_level": "molecular target",
"scope_population": "ethanol-exposed",
"value_source_sentence": "Adult male HAD-2 rats were given access to ethanol (15 and 30%, with ad libitum access to water and food) 22 h/day for 12 weeks, beginning at 60 days of age, after which cytisine (0.0, 0.5, and 1.5 mg/kg) was tested for 3 consecutive days.",
"experimental_conditions": "These findings provide further evidence that activity at the nAChR influences ethanol intake and is "
},
{
"n": 157,
"doi": "10.1176/appi.ajp.20250115",
"value": "7.2%",
"method": "various",
"metric": "alcohol pharmacological action",
"cite_key": "Metrik2026",
"n_analyzed": 157,
"text_access": "abstract_only",
"n_definition": "animals or subjects",
"scope_region": "CNS",
"study_system": "rats",
"taxonomic_level": "molecular target",
"scope_population": "ethanol-exposed",
"value_source_sentence": "The aim of this double-blind crossover randomized clinical trial was to examine dose-dependent acute effects of delta-9-tetrahydrocannabinol (THC) on alcohol craving and consumption.<h4>Methods</h4>Across three experimental days, 157 participants reporting heavy alcohol use and cannabis use two or more times weekly were randomized to smoke cannabis cigarettes containing 7.2% THC, 3.1% THC, or 0.03% THC (placebo), followed by exposures to neutral and personalized alcohol cues and an alcohol choice task for alcohol self-administration.",
"experimental_conditions": "<h4>Objective</h4>Cannabis use is strongly linked with heavy drinking and worse alcohol treatment ou"
},
{
"n": 56,
"doi": "10.1038/s43856-025-01369-6",
"value": null,
"method": "various",
"metric": "alcohol pharmacological action",
"cite_key": "Farahbakhsh2026",
"n_analyzed": 56,
"text_access": "abstract_only",
"n_definition": "animals or subjects",
"scope_region": "CNS",
"study_system": "mice",
"taxonomic_level": "molecular target",
"scope_population": "ethanol-exposed",
"value_source_sentence": "After acquiring operant responding for ethanol, each subject underwent four treatment block conditions: nalmefene (0.1 mg/kg i.p.), naltrexone (1.0 mg/kg i.p.), the selective kappa opioid receptor agonist U50,488 (1.0 mg/kg i.p.) and placebo (saline 10 ml/kg i.p.).",
"experimental_conditions": "A predictive model based on circulating biogenic amines allows for high accuracy classification of n"
},
{
"n": null,
"doi": "10.1002/npr2.70033",
"value": "81.5%",
"method": "various",
"metric": "alcohol pharmacological action",
"cite_key": "Masataka2025",
"n_analyzed": null,
"text_access": "abstract_only",
"n_definition": "animals or subjects",
"scope_region": "CNS",
"study_system": "human",
"taxonomic_level": "molecular target",
"scope_population": "ethanol-exposed",
"value_source_sentence": "A Sankey diagram visualized substance use progression, and odds ratios were calculated to assess the likelihood of using other substances following cannabis use.<h4>Results</h4>Of all respondents, 81.5% were male, with the largest age group being 20-24.",
"experimental_conditions": "Odds for subsequent use of alcohol, tobacco, methamphetamine, and other illicit drugs after cannabis"
}
],
"comparison_id": "fig_sec5_alcohol_multitarget",
"source_cluster": 4,
"comparison_type": "pharmacological_comparison",
"homogeneity_check": {
"caveats": [
"Different molecular targets assessed with different methodologies",
"Dose-response relationships differ across targets",
"Acute vs chronic effects are often conflated in comparisons"
],
"comparable": true,
"n_definition": "varies by study",
"scope_region": "multiple brain regions",
"taxonomic_level": "molecular target",
"scope_population": "ethanol-exposed preparations"
},
"suggested_plot_type": "radar_or_summary"
}