Urine and hair drug test results associated with daily consumption of codeine-predominant poppy seed food products.

This study examined the urine and hair opiate profiles associated with the daily consumption of presumptive codeine-predominant poppy seed food products. Ten participants consumed one of five food products at breakfast for 10 consecutive days. Baseline urine and hair samples were collected on Day 1. The urine samples were collected 4, 8 and 12 h following poppy seed consumption on Days 1 and 10, and the first morning void urine samples were collected on Days 2-10. A second hair specimen was collected on Day 20 ± 2. Urine drug test results: Three of the food products were associated with opiate-negative urine drug test results at all time points at a 300 ng/mL cut-off. Two of the food products were associated with opiate-positive drug test results at all non-baseline time points at a 300 ng/mL cut-off. Of these, all samples (n = 60) were codeine-positive, and 27 (45%) were morphine-positive. Codeine concentrations exceeded morphine concentrations in every sample and always by multiples. Thirty-nine of the 60 samples (65%) were codeine-positive at a 2,000 ng/mL cut-off, while none of these samples were morphine-positive at this cut-off. None of the 60 samples reached an opiate threshold of 15,000 ng/mL, although one participant produced a maximum codeine concentration of 13,161 ng/mL (13,854 ng/mg creatinine). There was no clear trend toward increasing urinary opiate concentrations over the course of the study. Hair drug test results: The hair samples of two participants produced quantifiable codeine (41 pg/mg and 51 pg/mg), but no sample reached a common reporting threshold of 200 pg/mg for codeine or morphine.

Pain Predicts Dropout From Substance Use Treatment.

OBJECTIVE: This project aimed to characterize the relationship between physical pain experienced at time of entry to residential treatment for substance use disorders (SUDs) and the frequency of treatment dropout. We hypothesized that both endorsement of recent pain and higher magnitude of endorsed pain intensity would be associated with higher dropout rates. We further hypothesized that these effects would be exacerbated among patients with opioid use disorder (OUD). METHOD: Participants included 1,095 individuals in residential treatment for SUD. Data were collected within 24 hours of treatment entry. Analyses were conducted using logistic regression with dropout as the dependent variable. Dropout was operationally defined as leaving treatment against medical advice or being discharged from treatment because of use of substances. Pain (including endorsement and intensity) was the primary independent variable in all analyses. Analyses included demographic and affective covariates and included both main effects of OUD and interaction terms between OUD and pain. RESULTS: Pain endorsement was associated with greater frequency of dropout (odds ratio [OR] = 1.49, p = .04). Higher levels of pain intensity predicted increased rates of dropout (OR = 1.13, p < .01). In contrast with our hypothesis, no interactions between OUD and pain were observed. CONCLUSIONS: These results underscore the import of integrating pain monitoring and pain interventions as core components of treatment for SUD. Our findings are highly consistent with a growing literature recognizing the impact of pain across a constellation of important treatment outcomes and provide novel data strongly suggesting that pain predicts early cessation of treatment.