Skip to content

Exploring the Anti-inflammatory Properties of Cannabis and Their Relevance to Insulin Sensitivity

Exploring the Anti-inflammatory Properties of Cannabis and Their Relevance to Insulin Sensitivity

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04114903
Acronym
SONIC
Enrollment
233
Registered
2019-10-03
Start date
2019-11-08
Completion date
2024-12-01
Last updated
2026-08-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cannabis Use, Insulin Sensitivity, Obesity, Type 2 Diabetes

Keywords

Diabetes, Obesity, Cannabis, Insulin Sensitivity

Brief summary

This study tests the effects of cannabinoid levels in blood on inflammation and insulin sensitivity both acutely and chronically in individuals across the weight spectrum. To that end, the study employs two observational designs: 1) A study of acute effects with intermittent cannabis users and 2) A study in which current cannabis users will select one of three cannabis strains for four weeks and are compared to a matched control group who do not use cannabis to study chronic effects. Blood levels of THC and CBD, inflammatory biomarkers, and insulin resistance will be measured in both studies.

Detailed description

According to the National Institute of Diabetes and Digestive and Kidney Diseases, over 30 million people in the US have diabetes, and just over 84 million people have pre-diabetes. Concurrently, 30 states and the District of Columbia have legalized cannabis for medical and/or recreational use and over the past decade, cannabis use among adults has more than doubled. Public perception and some scientific data suggest that cannabis causes acute over-eating, creating concern that public and legal acceptance of cannabis use will worsen the obesity epidemic in the United States, where more than two-thirds of US adults (68.8%) are currently overweight or obese. Paradoxically, cross sectional data demonstrate associations between chronic cannabis use and lower body mass index (BMI), prevalence of obesity, insulin resistance, waist circumference, and actual rates of type 2 diabetes despite data supporting higher caloric intake acutely. This study examines the effects of cannabinoid levels in blood on inflammation and insulin sensitivity both acutely and chronically in individuals across the weight spectrum. To that end, the study employs two observational designs: 1) A study of acute effects with intermittent cannabis users and 2) A study in which current cannabis users will select one of three cannabis strains for four weeks and are compared to a matched control group who do not use cannabis to study chronic effects.

Interventions

OTHERStudy A: Single use of cannabis flower product

Participants are asked to purchase and use one of three cannabis flower strains with differing levels of THC and CBD: 1) CBD (\~14% CBD/0% THC), 2) THC (\~14% THC/0% CBD), or 3) THC+CBD (\~7% THC/7% CBD).

OTHERStudy B: Ad libitum cannabis use for four weeks or no cannabis use

Participants choose whether to use a cannabis flower product ad libitum for four weeks or to not use cannabis for four weeks. Participants who choose to use cannabis are asked to purchase and use one of three cannabis flower strains with differing levels of THC and CBD: 1) CBD (\~14% CBD/0% THC), 2) THC (\~14% THC/0% CBD), or 3) THC+CBD (\~7% THC/7% CBD).

Sponsors

University of Colorado, Boulder
Lead SponsorOTHER
University of Colorado, Denver
CollaboratorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
21 Years to 40 Years

Inclusion criteria

* Able to provide informed consent * Cannabis users in Study A must have smoked or vaped cannabis at least once since January 1st 2014 with no negative effects but NOT used in the past three months * Cannabis users in Study B must have been a regular (at least weekly) user for at least a year * Non-users in Study B cannot have used any cannabis in the previous year * Weight stable (\<5 pound fluctuation in the past six months) * Planning to remain in the Boulder-Denver area for the next month * Fasting blood glucose greater than or equal to 55 mg/dl and less than or equal to 126 mg/dl * Cannabis users in Study A must endorse knowledge of the procedure(s) for smoking or vaping cannabis

Exclusion criteria

* Known auto-immune disease * Report of other drug use (cocaine, opiates, methamphetamine) in the past 90 days or fail urine screen for any of these drugs * Daily tobacco (cigarette, E-cigs, smokeless) user, given the impact of tobacco smoking on insulin function * Blood alcohol level greater than 0 at screening * Current use of medications for glucose lowering, immunosuppression, or anti-inflammation * Acute illness * Current use of psychotropic medications * Current diagnosis of diabetes * Heavy drinking as defined by an Alcohol Use Disorders Test (AUDIT) * Females can not be pregnant or trying to become pregnant * Females can not be nursing mothers * Have donated blood in the 8 weeks before the study or intend to donate blood in the 8 weeks after the study.

Design outcomes

Primary

MeasureTime frameDescription
Markers of InflammationStudy A: Difference between cytokines at baseline and cytokines one week later after acute use of cannabis product. Study B: Change from baseline to four weeksChange in Circulating Levels of Cytokines (TNF-α, IL-6, IL-1β, IL-12, IFNG, and IL-4). Results are reported as a composite score of TNF-α, IL-6, IL-1β, IL-12, IFNG, and IL-4
Change in Matsuda Index of Insulin SensitivityStudy A: Baseline versus after acute use one week later of cannabis product. Study B: The two tests will be separated by four weeksCalculation of Insulin Sensitivity using changes in fasting plasma glucose (FPG) and fasting plasma insulin (FPI). Measurements are collected on venous blood samples at 0, 30, 60, 90, and 120 minutes after ingestion of 75 grams oral glucose during oral glucose tolerance test (OGTT). Values across the timepoints were combined to create a Matsuda Index score as follows: 10000/sqrt ((FPG X FPI) X (Mean OGTT glucose concentration X Mean OGTT insulin concentration)). Higher scores mean higher sensitive to insulin and that your body more efficiently clears glucose from your bloodstream, thus higher scores are better.
Change in Plasma GlucoseStudy A: Baseline versus one week later after acute use of cannabis product. Study B: The two tests will be separated by four weeksChange in glucose over time after ingestion of 75 grams oral glucose measured during during oral glucose tolerance test (OGTT). Measurements are collected on venous blood samples at 0, 30, 60, 90, and 120 minutes and averaged across these timepoints for a mean score.
Change in Plasma InsulinStudy A: Baseline versus one week later after acute use of cannabis product. Study B: Baseline versus four weeks laterChange in insulin over time after ingestion of 75 grams oral glucose measured during OGTT. Measurements are collected on venous blood samples at 0, 30, 60, 90, and 120 minutes and averaged across these timepoints for a mean score.

Secondary

MeasureTime frameDescription
Stanford Seven-Day Physical Activity Recall (PAR)Study A: Baseline and one week following baseline Study B: Baseline and four weeks following baselineInterviewer administered assessment of number of minutes of moderate to vigorous physical activity over the previous seven days. Scores are reported as total minutes in the last week summed across moderate, hard, and very hard activity levels.
Sleep QualityStudy A: Baseline only Study B: Baseline to four weeks following baselinePittsburgh Sleep Quality Index: Measurement of the quality and patterns of sleep from poor to good measuring seven domains (e.g., latency, duration, disturbances) over the last 2 weeks. Participants' scores are reported as a global score of the summed seven component scores together ranging from 0 to 21, where higher scores indicate worse sleep and a global score of 5 or above indicates poor sleep quality.
Marijuana Consumption QuestionnaireStudy A: Baseline only. Study B: Baseline and four weeks following baselineTimes per day of cannabis flower use from 0 to 6. Includes all participants in Study A and only cannabis users in Study B.
Marijuana Dependence ScaleStudy A: Baseline only. Study B: Baseline and four weeks following baselineThis is a self-report scale based on DSM-5 criteria to assess dependence and other problems related to the use of cannabis. Scores are reported as a sum across the 11 items with yes/no options, ranging from 0 to 11, with higher scores indicating more dependence symptoms. Includes all participants in Study A and only cannabis users in Study B.
Marijuana Withdrawal ChecklistStudy A: Assessed at follow-up, one week following baseline. Study B: Assessed at follow-up, four weeks following baseline.A 15-item scale used to collect information on withdrawal symptoms that participants may be experiencing due to the lack of use of marijuana. Options range from 0 (none) to 3 (severe) for each question and are summed to create a final score ranging from 0 to 45. Includes all participants in Study A and only cannabis users in Study B.
The Alcohol Use Disorder Identification Test (AUDIT)Study A: Baseline only. Study B: Baseline and four weeks following baselineStandardized assessment of the extent of alcohol use and problems related to alcohol use. Scores are summed and range from 0 to 40 with higher scores indicating more hazardous alcohol use.
Timeline Follow-Back of Substance UseStudy A: Baseline only. Study B: Baseline and four weeks following baselineCalendar-based assessment of daily substance use for the 30 days prior to the baseline session for both studies. The average days of smoked cannabis use in the last 30 days are reported.
SF-12 Health SurveyStudy A: Baseline only. Study B: Baseline and four weeks following baselineThe SF-12 Health Survey is a 12-item questionnaire used to assess general health and well-being and includes domains of physical functioning, role-physical, pain, general health, vitality, social functioning, role-emotional and mental health. Only the mental component was analyzed. Scores are calculated using a weighted algorithm with scores ranging from 0 to 100; scores greater than 50 meaning better than average health and scores worse than 50 meaning worse than average health.
Nutrition Data System for Research 24-Hour Dietary RecallStudy A: Baseline and one week following baseline Study B: Baseline and four weeks following baselineInterviewer administered recall measure developed by the University of Minnesota Nutrition Coordinating Center (NCC), that facilitates the standardized collection of 24-hour dietary recall data. Healthy Eating Index (HEI) total scores are reported for each participant, which is a measure of healthy eating on a scale of 0 (poor eating) to 100 (very healthy eating). Scores above 80 indicate a good diet, and scores below 80 indicate a diet in need of improvement.
Stanford Leisure-Time Activity Categorical Item (L-Cat)Study A: Baseline and one week following baseline Study B: Baseline and four weeks following baselineSelf-report measure of a single item comprising six descriptive categories ranging from inactive (1) to very active (6).

Countries

United States

Baseline characteristics

Characteristic
Age, Continuous29.7 Years
STANDARD_DEVIATION 5.5
Alcohol Use (Quantity x Frequency)16.90 Monthly total of avg drinks/drinking day
STANDARD_DEVIATION 12.63
Body Mass Index (BMI)23.71 kg/m2
STANDARD_DEVIATION 3
Race (NIH/OMB)
American Indian or Alaska Native
1 Participants
Race (NIH/OMB)
Asian
4 Participants
Race (NIH/OMB)
Black or African American
3 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
10 Participants
Race (NIH/OMB)
White
203 Participants
Sex/Gender, Customized
Sex
Female
16 Participants
Sex/Gender, Customized
Sex
Male
13 Participants
Sex/Gender, Customized
Sex
Other
1 Participants
Sleep Quality (Pittsburgh Sleep Quality Index Item 15)0.91 units on a scale
STANDARD_DEVIATION 0.62

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
EG005
affected / at risk
EG006
affected / at risk
deaths
Total, all-cause mortality
0 / 340 / 280 / 460 / 90 / 470 / 410 / 28
other
Total, other adverse events
1 / 341 / 282 / 460 / 94 / 472 / 415 / 28
serious
Total, serious adverse events
0 / 340 / 280 / 460 / 90 / 470 / 410 / 28

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 7, 2026