Calculate Edible Marijuana Detectability Based on Weight

Edible Marijuana Detectability Calculator: Weight & Time Factors :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.5em; } .calculator-section { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .calculator-section h2 { text-align: center; margin-bottom: 20px; } .loan-calc-container { display: flex; flex-direction: column; gap: 20px; } .input-group { display: flex; flex-direction: column; gap: 8px; } .input-group label { font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { padding: 12px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group select:focus { outline: none; border-color: var(–primary-color); box-shadow: 0 0 0 2px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85em; color: #666; } .error-message { color: #dc3545; font-size: 0.85em; margin-top: 5px; min-height: 1.2em; /* Prevent layout shifts */ } .button-group { display: flex; gap: 15px; margin-top: 25px; flex-wrap: wrap; } .btn { padding: 12px 25px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; font-weight: bold; transition: background-color 0.3s ease; text-transform: uppercase; } .btn-primary { background-color: var(–primary-color); color: white; } .btn-primary:hover { background-color: #003366; } .btn-success { background-color: var(–success-color); color: white; } .btn-success:hover { background-color: #218838; } .btn-secondary { background-color: #6c757d; color: white; } .btn-secondary:hover { background-color: #5a6268; } #results { margin-top: 30px; padding: 25px; background-color: #e9ecef; border-radius: 8px; border: 1px solid var(–border-color); } #results h3 { margin-top: 0; color: var(–primary-color); text-align: center; } .result-item { margin-bottom: 15px; font-size: 1.1em; } .result-item strong { color: var(–primary-color); display: inline-block; min-width: 200px; } .primary-result { font-size: 1.8em; font-weight: bold; color: var(–success-color); text-align: center; margin-bottom: 20px; padding: 15px; background-color: #d4edda; border: 1px solid var(–success-color); border-radius: 5px; } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; padding: 10px; background-color: #f0f0f0; border-left: 3px solid var(–primary-color); } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; } th, td { padding: 12px; text-align: left; border-bottom: 1px solid var(–border-color); } th { background-color: var(–primary-color); color: white; font-weight: bold; } td { background-color: var(–card-background); } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; caption-side: top; text-align: left; } canvas { display: block; margin: 20px auto; max-width: 100%; background-color: white; border-radius: 5px; box-shadow: var(–shadow); } .article-content { margin-top: 30px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } .article-content p, .article-content ul, .article-content ol { margin-bottom: 1.5em; } .article-content li { margin-bottom: 0.8em; } .article-content a { color: var(–primary-color); text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; padding: 10px; border-left: 3px solid var(–primary-color); background-color: #f0f8ff; } .faq-item strong { display: block; color: var(–primary-color); margin-bottom: 5px; } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 10px; } .related-tools a { font-weight: bold; } .related-tools span { font-size: 0.9em; color: #666; display: block; margin-top: 3px; } @media (min-width: 768px) { .loan-calc-container { flex-direction: row; flex-wrap: wrap; justify-content: space-between; } .loan-calc-container .input-group { flex: 1 1 48%; /* Two columns on larger screens */ min-width: 200px; } .button-group { justify-content: flex-start; } } @media (min-width: 992px) { .loan-calc-container .input-group { flex: 1 1 30%; /* Three columns on larger screens */ } }

Edible Marijuana Detectability Calculator

Understand THC metabolite detection windows based on consumption weight.

Edible Marijuana Detectability Calculator

Enter the total weight of the edible in grams.
Approximate percentage of THC by weight in the edible.
Hours elapsed since consuming the edible.
Slow Average Fast
Your estimated metabolic rate affects THC processing.

Detection Probability

Estimated THC Dose (mg):
Metabolite Level (ng/mL):
Detection Window (hours):
Formula Explanation:

The estimated THC dose is calculated by multiplying the edible weight by its THC concentration and converting to milligrams. Metabolite levels are estimated based on this dose, time elapsed, and metabolism rate, then compared against typical drug test thresholds to determine detection probability. The detection window is an approximation of how long THC metabolites might remain detectable.

Metabolite Level Over Time

Metabolite Detection Thresholds
Test Type Typical Threshold (ng/mL) Detection Probability
Urine Test (Standard) 50
Blood Test (Standard) 2
Saliva Test (Standard) 10

{primary_keyword}

{primary_keyword} refers to the likelihood that THC (tetrahydrocannabinol) metabolites, resulting from the consumption of marijuana edibles, will be detected by a drug screening test. Unlike inhaled cannabis, edibles are processed differently by the body, leading to a longer duration of effects and a potentially extended detection window for THC metabolites. Understanding {primary_keyword} is crucial for individuals who may undergo drug testing, especially considering the unique pharmacokinetic profile of edibles. This calculator provides an estimation based on key factors like the weight of the edible consumed, its THC concentration, the time elapsed since ingestion, and individual metabolism.

Who should use this calculator? Individuals who consume marijuana edibles and are concerned about potential drug test results should use this tool. This includes employees in safety-sensitive positions, individuals undergoing probation or parole, athletes subject to testing, or anyone seeking to understand their personal risk profile. It's important to note that this calculator provides an estimate and should not be considered definitive legal or medical advice.

Common Misconceptions: A frequent misconception is that edibles clear the system faster because their effects are shorter-lived than smoking. In reality, the liver metabolizes THC from edibles into 11-hydroxy-THC, a potent compound that can lead to a longer and more intense experience, and its metabolites may persist longer. Another myth is that simply drinking a lot of water will flush out THC metabolites quickly; while hydration is important, it doesn't significantly accelerate the elimination of THC-COOH (the primary metabolite tested). Finally, many believe that a single edible use will result in immediate clearance, which is often not the case, especially with higher doses or slower metabolisms.

{primary_keyword} Formula and Mathematical Explanation

The core of {primary_keyword} estimation involves calculating the initial THC dose and then modeling its breakdown and excretion over time. The process can be broken down into several steps:

  1. Calculate Total THC Content: This is the starting point. We determine the total amount of THC present in the edible based on its weight and concentration.
    Formula: Total THC (mg) = Edible Weight (g) × THC Concentration (%) × 10 (conversion factor: 1% = 10 mg/g)
  2. Estimate Initial Metabolite Production: After ingestion, THC is metabolized in the liver, primarily into THC-COOH, which is then stored and slowly released into the bloodstream and eventually excreted. The rate of this initial conversion and subsequent release is influenced by metabolism.
  3. Model Metabolite Decay: THC metabolites are eliminated from the body over time. This decay is often modeled using half-life principles, though it's complex due to factors like fat storage. For simplicity, we use a generalized decay curve influenced by metabolism rate.
    Simplified Model: Metabolite Level (ng/mL) ≈ (Estimated THC Dose (mg) × Metabolism Factor) / (Time Since Consumption (hours) ^ Decay Exponent) The 'Metabolism Factor' and 'Decay Exponent' are adjusted based on the selected metabolism rate (slow, average, fast).
  4. Compare to Detection Thresholds: The calculated metabolite level at a given time is compared against standard thresholds used by different drug tests (urine, blood, saliva).
    Comparison: Detection Probability = 1 if Metabolite Level (ng/mL) > Test Threshold (ng/mL), else 0 (simplified binary). In practice, probability is a gradient.

Variable Explanations:

Variable Meaning Unit Typical Range
Edible Weight The total mass of the edible product. grams (g) 0.1 – 100+ g
THC Concentration The percentage of THC by weight within the edible. Percent (%) 0.1% – 50%+
Time Since Consumption Duration elapsed after ingesting the edible. hours (h) 0 – 168+ h (7 days)
Metabolism Rate Individual's metabolic speed (influences drug processing). Categorical (Slow, Average, Fast) N/A
Estimated THC Dose Total THC ingested from the edible. milligrams (mg) Calculated
Metabolite Level Concentration of THC metabolites in the body. nanograms per milliliter (ng/mL) Calculated
Detection Threshold The minimum concentration for a positive drug test result. nanograms per milliliter (ng/mL) Varies by test type (e.g., 50 ng/mL for urine)
Detection Window Approximate duration metabolites remain detectable. hours (h) or days (d) Highly variable (12h – 90d+)

Practical Examples (Real-World Use Cases)

Let's illustrate {primary_keyword} with two distinct scenarios:

Example 1: Moderate Edible Consumption

Scenario: Sarah consumes a homemade brownie weighing 30 grams with an estimated THC concentration of 5%. She took it 48 hours ago and has an average metabolism. She needs to know her probability of failing a standard urine test.

Inputs:

  • Edible Weight: 30 g
  • THC Concentration: 5%
  • Time Since Consumption: 48 hours
  • Metabolism Rate: Average

Calculation Steps (Simplified):

  • Estimated THC Dose: 30 g * 5% * 10 = 1500 mg
  • Metabolite Level after 48 hours (average metabolism): Estimated ~35 ng/mL (This is a simplified model output)
  • Detection Window: Approximately 72 hours

Results Interpretation:

  • Estimated THC Dose: 1500 mg
  • Metabolite Level: ~35 ng/mL
  • Detection Window: ~72 hours
  • Urine Test Probability (Threshold 50 ng/mL): Low. At 48 hours, Sarah's estimated metabolite level is below the typical 50 ng/mL threshold for a standard urine test.

Financial/Decision Impact: If Sarah's employment depends on passing this test, her risk appears low based on these estimates. However, individual variations exist.

Example 2: High Dose Edible & Recent Consumption

Scenario: Mark consumes a commercially produced gummy weighing 5 grams with a high THC concentration of 20%. He consumed it only 12 hours ago and has a slow metabolism. He's concerned about a saliva test.

Inputs:

  • Edible Weight: 5 g
  • THC Concentration: 20%
  • Time Since Consumption: 12 hours
  • Metabolism Rate: Slow

Calculation Steps (Simplified):

  • Estimated THC Dose: 5 g * 20% * 10 = 1000 mg
  • Metabolite Level after 12 hours (slow metabolism): Estimated ~60 ng/mL (This is a simplified model output)
  • Detection Window: Approximately 96 hours

Results Interpretation:

  • Estimated THC Dose: 1000 mg
  • Metabolite Level: ~60 ng/mL
  • Detection Window: ~96 hours
  • Saliva Test Probability (Threshold 10 ng/mL): High. At 12 hours, Mark's estimated metabolite level significantly exceeds the typical 10 ng/mL threshold for a saliva test.

Financial/Decision Impact: Mark faces a high probability of a positive saliva test. If this impacts his job, he may need to consider the consequences or seek advice. The financial implications of failing a drug test can be severe, including job loss and associated income reduction.

How to Use This {primary_keyword} Calculator

Using the Edible Marijuana Detectability Calculator is straightforward. Follow these steps to get an estimated probability:

  1. Input Edible Weight: Enter the total weight of the edible product you consumed in grams (g). If you don't know the exact weight, estimate as accurately as possible.
  2. Input THC Concentration: Provide the approximate percentage (%) of THC by weight in the edible. This information might be on packaging for commercial products or estimated for homemade items.
  3. Input Time Since Consumption: Enter the number of hours that have passed since you ingested the edible. Be precise for the most accurate estimate.
  4. Select Metabolism Rate: Choose 'Slow', 'Average', or 'Fast' based on your general understanding of how quickly your body processes substances. Factors like age, activity level, and genetics play a role. 'Average' is a safe default if unsure.
  5. Click 'Calculate Detectability': The calculator will process your inputs and display the results.

How to Read Results:

  • Primary Result (Detection Probability): This gives you a general indication of your likelihood of testing positive. It's often presented as 'Low', 'Moderate', or 'High' based on comparisons to common test thresholds.
  • Estimated THC Dose (mg): Shows the total milligrams of THC you likely ingested. Higher doses generally lead to longer detection windows.
  • Metabolite Level (ng/mL): An estimated concentration of THC metabolites in your system at the time of calculation. This is the key figure compared against test thresholds.
  • Detection Window (hours): An approximate timeframe during which metabolites might be detectable. This is highly variable.
  • Threshold Table: Compares your estimated metabolite level to standard thresholds for urine, blood, and saliva tests, providing a more specific probability for each test type.
  • Chart: Visualizes how the estimated metabolite level might decrease over time, helping you understand the decay curve.

Decision-Making Guidance: Use the results to inform your decisions. If the probability of detection is high and you need to pass a test, consider abstaining from edibles for a significantly longer period. If the probability is low, you may feel more confident, but remember that individual results can vary. This tool is for informational purposes; consult with a healthcare professional or legal advisor for specific concerns. Understanding the financial implications of failing a drug test (e.g., job loss, legal fees) underscores the importance of accurate estimations.

Key Factors That Affect {primary_keyword} Results

Several factors significantly influence the detectability of THC metabolites from edibles, impacting the accuracy of any calculator. Understanding these nuances is vital for a realistic assessment:

  1. Dosage and Potency: The most critical factor. A higher THC dose (from heavier weight or higher concentration) means more THC enters the system, leading to higher metabolite levels and a longer detection window. This directly impacts financial risk if employment is tied to test results.
  2. Individual Metabolism: People metabolize substances at different rates. A faster metabolism generally clears THC metabolites more quickly, shortening the detection window. Conversely, a slow metabolism can prolong detectability, increasing the duration of financial risk associated with testing.
  3. Frequency of Use: Chronic or heavy users build up THC metabolites in their fat tissues. These metabolites are released slowly over time, leading to significantly longer detection windows compared to occasional users, even after a single edible dose. This cumulative effect is a major consideration for long-term employees.
  4. Body Fat Percentage: THC is lipophilic (fat-soluble). Metabolites are stored in body fat and released gradually. Individuals with higher body fat percentages may retain metabolites for longer periods, extending the detection window. This can be a factor in assessing long-term health and employment stability.
  5. Hydration Levels: While not a primary factor for elimination, severe dehydration can concentrate urine, potentially making metabolites easier to detect. Conversely, over-hydration might dilute urine, but extremely diluted samples can be flagged as invalid, leading to a presumptive failure in some testing protocols.
  6. Type of Drug Test: Different tests have varying sensitivity and detection windows. Urine tests typically detect metabolites for the longest period (days to weeks), followed by blood tests (hours to days), and saliva tests (hours to a couple of days). Understanding the specific test used is crucial for assessing risk. The financial consequences of failing a specific test type can vary.
  7. Edible Formulation and Bioavailability: The way an edible is prepared (e.g., infused oil vs. distillate) and the presence of other ingredients can affect how THC is absorbed and metabolized. Factors like consuming on an empty stomach versus a full stomach also influence absorption rates, indirectly affecting peak metabolite levels and subsequent decay.
  8. Kidney and Liver Function: These organs are crucial for filtering and processing waste products, including THC metabolites. Impaired kidney or liver function can slow down the elimination process, potentially extending the detection window and increasing the duration of financial uncertainty.

Frequently Asked Questions (FAQ)

Q1: How long does it take for edibles to be completely out of my system?

A: This varies greatly. For occasional users, THC metabolites might be undetectable in urine tests within 3-7 days. However, for frequent users, it can take 30 days or even longer due to metabolite accumulation in fat tissues. Edible consumption, due to its metabolism, can sometimes extend these windows compared to inhalation.

Q2: Can drinking a lot of water help me pass a drug test after eating edibles?

A: Drinking excessive water might dilute your urine, potentially lowering metabolite concentration below the test threshold. However, overly diluted samples are often flagged as invalid, leading to a failed test or a request for a retest. It's not a reliable method and doesn't speed up the body's natural elimination process significantly.

Q3: Are edibles easier or harder to detect than smoking marijuana?

A: Edibles are generally harder to detect in the short term but can lead to a longer overall detection window. When smoked, THC enters the bloodstream rapidly and is cleared faster. Edibles are processed by the liver into 11-hydroxy-THC, which is potent and can result in metabolites lingering longer in the system.

Q4: Does the type of edible (gummy, brownie, drink) affect detectability?

A: The primary factors are the total THC dose and the time since consumption. However, the formulation can influence absorption speed. Fats in brownies or baked goods might slow absorption, potentially leading to a more gradual rise and fall of metabolite levels compared to a faster-absorbing drink or gummy. This can subtly affect the peak level and duration.

Q5: How accurate is this calculator for {primary_keyword}?

A: This calculator provides an *estimate* based on generalized pharmacokinetic models. Individual metabolism, body composition, frequency of use, and specific test sensitivities can cause significant variations. It should be used as a guide, not a definitive prediction.

Q6: What are the financial implications of failing a drug test for marijuana?

A: Failing a drug test can lead to serious financial consequences, including job termination, loss of income, difficulty finding future employment, legal fees (if applicable), and potential loss of professional licenses. The cost of a positive test can far outweigh the cost of the edible itself.

Q7: Can exercise help clear THC metabolites faster?

A: Exercise can potentially speed up metabolism and aid in the release of THC metabolites stored in fat. However, exercising intensely right before a test might temporarily increase metabolite levels in the bloodstream, potentially leading to a positive result, especially for blood or saliva tests. Moderation is key.

Q8: What is the difference between THC and its metabolites for drug testing?

A: Drug tests, particularly urine tests, primarily look for THC metabolites, such as THC-COOH (11-nor-9-carboxy-THC). THC itself is often cleared from the body relatively quickly after the high subsides. Metabolites are the byproducts of the body breaking down THC, and they remain detectable for much longer periods.

© 2023 Your Website Name. All rights reserved. This calculator is for informational purposes only and does not constitute medical or legal advice.

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'High' : (metaboliteLevel > urineThreshold * 0.7 ? 'Moderate' : 'Low'); document.getElementById('bloodProb').textContent = metaboliteLevel > bloodThreshold ? 'High' : (metaboliteLevel > bloodThreshold * 0.7 ? 'Moderate' : 'Low'); document.getElementById('salivaProb').textContent = metaboliteLevel > salivaThreshold ? 'High' : (metaboliteLevel > salivaThreshold * 0.7 ? 'Moderate' : 'Low'); // — Update Primary Result — var primaryResultText = "Low Probability"; var highestProb = 'Low'; if (metaboliteLevel > salivaThreshold * 0.7) highestProb = 'Moderate'; if (metaboliteLevel > urineThreshold * 0.7) highestProb = 'High'; if (highestProb === 'High') { primaryResultText = "High Probability of Detection"; } else if (highestProb === 'Moderate') { primaryResultText = "Moderate Probability of Detection"; } document.getElementById('primaryResult').textContent = primaryResultText; // — Update Chart — updateChart(estimatedThcDose, metabolismRate); } function updateChart(initialDose, metabolismRate) { var canvas = document.getElementById('metaboliteChart'); var ctx = canvas.getContext('2d'); // Clear previous chart if it exists if (chart) { chart.destroy(); } var timePoints = []; var metaboliteLevels = []; var maxHours = 168; // 7 days var step = maxHours / 50; // Number of points for the curve var metabolismFactor = getMetabolismFactor(metabolismRate); var decayExponent = getDecayExponent(metabolismRate); for (var i = 0; i <= 50; i++) { var hours = i * step; timePoints.push(hours); var level = 0; if (hours === 0) { level = initialDose * metabolismFactor * 50; // High initial level assumption } else { level = (initialDose * metabolismFactor) / Math.pow(hours, decayExponent); } metaboliteLevels.push(Math.max(level, 0.01)); // Ensure positive value } // Add thresholds for reference var urineThreshold = 50; var bloodThreshold = 2; var salivaThreshold = 10; chart = new Chart(ctx, { type: 'line', data: { labels: timePoints.map(function(h) { return h.toFixed(0) + 'h'; }), datasets: [{ label: 'Estimated Metabolite Level (ng/mL)', data: metaboliteLevels, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1 }, { label: 'Urine Threshold (50 ng/mL)', data: Array(timePoints.length).fill(urineThreshold), borderColor: 'rgba(255, 99, 132, 0.7)', borderDash: [5, 5], backgroundColor: 'transparent', fill: false, pointRadius: 0 }, { label: 'Saliva Threshold (10 ng/mL)', data: Array(timePoints.length).fill(salivaThreshold), borderColor: 'rgba(255, 159, 64, 0.7)', borderDash: [5, 5], backgroundColor: 'transparent', fill: false, pointRadius: 0 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Time Since Consumption (Hours)' } }, y: { title: { display: true, text: 'Concentration (ng/mL)' }, beginAtZero: true, // Suggest a reasonable max based on initial levels suggestedMax: Math.max(…metaboliteLevels) * 1.2 } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' ng/mL'; } return label; } } }, legend: { position: 'top', } } } }); } function resetCalculator() { document.getElementById('edibleWeightGrams').value = '5'; document.getElementById('thcConcentrationPercent').value = '10'; document.getElementById('timeSinceConsumptionHours').value = '24'; document.getElementById('metabolismRate').value = 'average'; // Clear results and errors document.getElementById('estimatedThcDose').textContent = '–'; document.getElementById('metaboliteLevel').textContent = '–'; document.getElementById('detectionWindow').textContent = '–'; document.getElementById('primaryResult').textContent = '–'; document.getElementById('urineProb').textContent = '–'; document.getElementById('bloodProb').textContent = '–'; document.getElementById('salivaProb').textContent = '–'; document.getElementById('edibleWeightGramsError').textContent = ''; document.getElementById('thcConcentrationPercentError').textContent = ''; document.getElementById('timeSinceConsumptionHoursError').textContent = ''; // Clear chart var canvas = document.getElementById('metaboliteChart'); var ctx = canvas.getContext('2d'); if (chart) { chart.destroy(); chart = null; } ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas visually // Optionally, recalculate with default values calculateDetectability(); } function copyResults() { var resultsText = "Edible Marijuana Detectability Results:\n\n"; resultsText += "Estimated THC Dose: " + document.getElementById('estimatedThcDose').textContent + "\n"; resultsText += "Metabolite Level: " + document.getElementById('metaboliteLevel').textContent + "\n"; resultsText += "Detection Window: " + document.getElementById('detectionWindow').textContent + "\n"; resultsText += "Primary Detection Probability: " + document.getElementById('primaryResult').textContent + "\n\n"; resultsText += "Thresholds:\n"; resultsText += "Urine Test: " + document.getElementById('urineProb').textContent + " (Threshold: 50 ng/mL)\n"; resultsText += "Blood Test: " + document.getElementById('bloodProb').textContent + " (Threshold: 2 ng/mL)\n"; resultsText += "Saliva Test: " + document.getElementById('salivaProb').textContent + " (Threshold: 10 ng/mL)\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Edible Weight: " + document.getElementById('edibleWeightGrams').value + " g\n"; resultsText += "- THC Concentration: " + document.getElementById('thcConcentrationPercent').value + " %\n"; resultsText += "- Time Since Consumption: " + document.getElementById('timeSinceConsumptionHours').value + " hours\n"; resultsText += "- Metabolism Rate: " + document.getElementById('metabolismRate').options[document.getElementById('metabolismRate').selectedIndex].text + "\n"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copy failed!'; // Optionally show a temporary message to the user var copyButton = document.querySelector('button.btn-success'); var originalText = copyButton.textContent; copyButton.textContent = msg; setTimeout(function() { copyButton.textContent = originalText; }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); // Optionally show a temporary message to the user var copyButton = document.querySelector('button.btn-success'); var originalText = copyButton.textContent; copyButton.textContent = 'Copy Failed!'; setTimeout(function() { copyButton.textContent = originalText; }, 2000); } document.body.removeChild(textArea); } // Initial calculation on page load window.onload = function() { calculateDetectability(); };

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