Drug poisonings following bariatric surgery: Case series report
Eman Mshari, Fannie LaJeunesse‐Trempe, Stephen Morley, Caroline Copeland

TL;DR
Bariatric surgery patients are at increased risk of drug-related deaths due to altered medication absorption and misuse of prescription drugs.
Contribution
This study reports 18 cases of drug poisonings in bariatric surgery patients and highlights the role of altered pharmacokinetics and comorbidities.
Findings
Opioids were detected in nearly all cases and were frequently linked to death.
Unprescribed medications were commonly found in post-mortem analyses.
Mental health and chronic pain were common comorbidities, with one-third of deaths classified as suicide.
Abstract
Bariatric surgery alters gastrointestinal anatomy and physiology, which likely impacts upon oral medication absorption. Drug‐ and alcohol‐related deaths in this population are being increasingly reported; however, toxicological detail is lacking. Using data reported to the National Programme on Substance Use Mortality, we identified 18 deaths in people who had previously undergone bariatric surgery. Opioids were detected in almost all cases and were frequently implicated in causing death. Multiple medications were detected at post‐mortem in every case and often included medications that the deceased was not actively prescribed. Mental health conditions and chronic pain were commonly listed comorbidities and one‐third of deaths were deemed suicide. Illicit drug and alcohol use was rare, highlighting a distinct vulnerability to prescription medication harms. Our findings emphasize a need…
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| Post‐mortem | Total implicated | Implication by source | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| % | Cases with quantifications | Concentration (mg/L) |
| % | Cases with quantifications | Concentration (mg/L) | Prescribed | Not prescribed | Source unknown | ||||||
| Median | Range | Median | Range |
| % |
| % |
| % | |||||||
| Total cases | 18 | 100 | 18 | 100 | 17 | 100 | 17 | 100 | 1 | 100 | ||||||
| Unlicensed substances | ||||||||||||||||
| Alcohol | 4 | 22.22 | 4 | 440 | 190–630 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Illicit substances | 2 | 11.1 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Cannabis | 2 | 11.1 | 1 | 0.0009 | 0.0009 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Cocaine | 1 | 5.6 | 1 | 6.60 | 6.60 | 1 | 5.6 | 1 | 6.6 | 6.6 | ‐ | ‐ | 1 | 5.9 | ‐ | ‐ |
| Licensed psychoactive medications | ||||||||||||||||
| Antidepressants | 15 | 83.3 | ‐ | ‐ | ‐ | 8 | 44.4 | ‐ | ‐ | ‐ | 6 | 35.3 | 1 | 5.9 | 1 | 100 |
| Amitriptyline | 7 | 38.9 | 5 | 0.21 | 0.02–2.39 | 4 | 22.2 | 2 | 2.13 | 1.87–2.39 | 2 | 11.8 | 1 | 5.9 | 1 | 100 |
| Duloxetine | 1 | 5.6 | 1 | 1.10 | 1.10 | 1 | 5.6 | 1 | 1.10 | 1.10 | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Fluoxetine | 1 | 5.6 | 1 | 0.03 | 0.03 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Mirtazapine | 2 | 11.1 | 1 | 1.20 | 1.20 | 2 | 11.1 | 1 | 1.20 | 1.20 | 2 | 11.8 | ‐ | ‐ | ‐ | ‐ |
| Sertraline | 3 | 16.7 | 3 | 1.10 | 0.41–1.40 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Venlafaxine | 5 | 27.8 | 5 | 1.79 | 0.03–15.54 | 4 | 22.2 | 4 | 2.00 | 0.03–15.54 | 3 | 17.6 | ‐ | ‐ | 1 | 100 |
| Anti‐psychotics | 6 | 33.3 | ‐ | ‐ | ‐ | 5 | 27.8 | ‐ | ‐ | ‐ | 4 | 23.5 | ‐ | ‐ | 1 | 100 |
| Chlorpromazine | 1 | 5.6 | 1 | 5.20 | 5.20 | 1 | 5.6 | 1 | 5.20 | 5.20 | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Quetiapine | 5 | 27.8 | 4 | 0.93 | 0.43–1.90 | 4 | 22.2 | 3 | 1.04 | 0.83–1.90 | 3 | 17.6 | ‐ | ‐ | 1 | 100 |
| Zuclopenthixol | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Benzodiazepines and Z‐drugs | 9 | 50.0 | ‐ | ‐ | ‐ | 5 | 27.8 | ‐ | ‐ | ‐ | 4 | 23.5 | 2 | 11.8 | ‐ | ‐ |
| Alprazolam | 1 | 5.6 | 1 | 0.14 | 0.14 | 1 | 5.6 | 1 | 0.14 | 0.14 | ‐ | ‐ | 1 | 5.9 | ‐ | ‐ |
| Diazepam | 6 | 33.3 | 3 | 0.11 | 0.07–0.46 | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | 1 | 5.9 | ‐ | ‐ |
| Zolpidem | 1 | 5.6 | 1 | 0.29 | 0.29 | 1 | 5.6 | 1 | 0.29 | 0.29 | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Zopiclone | 5 | 27.8 | 5 | 0.23 | 0.02–0.49 | 3 | 16.7 | 3 | 0.38 | 0.23–0.49 | 3 | 17.6 | ‐ | ‐ | ‐ | ‐ |
| Gabapentinoids | 10 | 55.6 | ‐ | ‐ | ‐ | 7 | 38.9 | ‐ | ‐ | ‐ | 3 | 17.6 | 3 | 17.6 | 1 | 100 |
| Gabapentin | 3 | 16.7 | 3 | 76.00 | 22.00–89.00 | 3 | 16.7 | 3 | 76.00 | 22.00–89.00 | 1 | 5.9 | 2 | 11.8 | ‐ | ‐ |
| Pregabalin | 7 | 38.9 | 5 | 14.30 | 5.40–100.50 | 4 | 22.2 | 2 | 57.40 | 14.30–100.50 | 2 | 11.8 | 1 | 5.9 | 1 | 100 |
| Opioids | 17 | 94.4 | ‐ | ‐ | ‐ | 17 | 94.4 | ‐ | ‐ | ‐ | 8 | 47.1 | 9 | 52.9 | 1 | 100 |
| Codeine | 9 | 50.0 | 8 | 1.70 | 0.01–7.76 | 7 | 38.9 | 7 | 2.20 | 0.13–7.76 | 5 | 29.4 | 2 | 11.8 | ‐ | ‐ |
| Dextropropoxyphene | 1 | 5.6 | 1 | 0.30 | 0.30 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Dihydrocodeine | 3 | 16.7 | 2 | 5.53 | 3.56–7.50 | 2 | 11.1 | 2 | 5.53 | 3.56–7.50 | ‐ | ‐ | 2 | 11.8 | ‐ | ‐ |
| Dipipanone | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Fentanyl | 1 | 5.6 | 1 | 0.0063 | 0.0063 | 1 | 5.6 | 1 | 0.0063 | 0.0063 | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Hydrocodone | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Morphine | 5 | 27.8 | 4 | 0.19 | 0.05–0.36 | 7 | 38.9 | 6 | 0.14 | 0.02–0.36 | 5 | 29.4 | 2 | 11.8 | ‐ | ‐ |
| Oxycodone | 3 | 16.7 | 3 | 0.56 | 0.08–0.58 | 3 | 16.7 | 3 | 0.56 | 0.08–0.58 | ‐ | ‐ | 2 | 11.8 | 1 | 100 |
| Tramadol | 5 | 27.8 | 5 | 6.50 | 0.51–9.71 | 4 | 22.2 | 4 | 7.25 | 4.28–9.71 | 1 | 5.9 | 3 | 17.6 | ‐ | ‐ |
| Sedating antihistamine | 4 | 22.2 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Cyclizine | 4 | 22.2 | 3 | 0.30 | 0.29–2.59 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Diphenhydramine | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Licensed non‐psychoactive medications | ||||||||||||||||
| Anti‐cholinergics | 1 | 5.6 | ‐ | ‐ | ‐ | 1 | 5.6 | ‐ | ‐ | ‐ | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Procyclidine | 1 | 5.6 | ‐ | ‐ | ‐ | 1 | 5.6 | ‐ | ‐ | ‐ | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Cardiovascular medications | 5 | 27.8 | ‐ | ‐ | ‐ | 2 | 11.1 | ‐ | ‐ | ‐ | 2 | 11.8 | ‐ | ‐ | ‐ | ‐ |
| Propranolol | 4 | 22.2 | 2 | 4.7 | 4.30–5.00 | 2 | 11.1 | 2 | 4.65 | 4.30–5.00 | 2 | 11.8 | ‐ | ‐ | ‐ | ‐ |
| Bisoprolol | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Non‐opioid analgesics | 13 | 72.2 | ‐ | ‐ | ‐ | 1 | 1.0 | ‐ | ‐ | ‐ | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Aspirin | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Diclofenac | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Ibuprofen | 2 | 11.1 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Naproxen | 3 | 16.7 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Paracetamol | 10 | 55.6 | 3 | 37.5 | 31.00–217.00 | 1 | 5.6 | 1.0 | 31.00 | 31.00 | 1 | 5.9 | ‐ | ‐ | ‐ | ‐ |
| Other | 7 | 38.9 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Cetirizine | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Dexamethasone | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Lansoprazole | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Lignocaine | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Metoclopramide | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Omeprazole | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Piperacillin | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Quinine | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Sildenafil | 1 | 5.6 | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
|
| % | |
|---|---|---|
| History of mental health | 14 | 77.8 |
| Depression | 6 | 33.3 |
| Anxiety | 3 | 16.7 |
| Unspecified condition | 4 | 22.2 |
| Suicidal ideation | 2 | 11.1 |
| Self‐harm | 1 | 5.6 |
| Low self‐esteem | 1 | 5.6 |
| PTSD | 1 | 5.6 |
| Chronic pain | 9 | 50.0 |
| Previous overdose | 4 | 22.2 |
| Bariatric case series | All NPSUM | |||
|---|---|---|---|---|
|
| % | Valid % | Valid % | |
| Total | 18 | 100 | 100 | 100 |
| Age (years; mean ± SD [range]) | 47.2 ± 9.1 (31–60) | 40.9 ± 13.4 (0–105) | ||
| Sex | ||||
| Male | 5 | 27.8 | 154.3 | 73.2 |
| Female | 13 | 72.2 | 401.2 | 26.8 |
| Employment status | ||||
| Unemployed | 7 | 38.9 | 46.7 | 54.4 |
| Employed | 4 | 22.2 | 26.7 | 30.5 |
| Retired/invalidity/sickness | 3 | 16.7 | 20.0 | 11.4 |
| Childcare/houseperson | 1 | 5.6 | 6.7 | 1.6 |
| Student/pupil | ‐ | ‐ | ‐ | 2.1 |
| Not known | 3 | 16.7 | ‐ | ‐ |
| Living circumstances | ||||
| With others | 10 | 55.6 | 66.7 | 41.3 |
| Alone | 5 | 27.8 | 33.3 | 46.4 |
| No fixed abode/hostel | ‐ | ‐ | ‐ | 7.1 |
| Other | ‐ | ‐ | ‐ | 5.2 |
| Not known | 3 | 16.7 | ‐ | ‐ |
| Deprivation quintile | ||||
| 1 | 7 | 41.2 | 41.2 | 47.6 |
| 2 | 4 | 23.5 | 23.5 | 21.3 |
| 3 | 2 | 11.8 | 11.8 | 14.9 |
| 4 | 2 | 11.8 | 11.8 | 9.4 |
| 5 | 2 | 11.8 | 11.8 | 6.8 |
| Drug use history | ||||
| Yes (IVDU) | 1 (‐) | 5.6 (‐) | 10.0 (‐) | 72.9 (17.2) |
| No | 9 | 50.0 | 90.0 | 27.1 |
| Not known | 8 | 44.4 | ‐ | ‐ |
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Taxonomy
TopicsBariatric Surgery and Outcomes · Opioid Use Disorder Treatment · Forensic Toxicology and Drug Analysis
INTRODUCTION
1
Bariatric surgery is a well‐established treatment for obesity.1, 2, 3, 4, 5 There are several different bariatric surgery procedures, with gastric bypass and sleeve gastrectomy the most commonly performed.4 By design these procedures reduce food intake and absorption to achieve weight loss. However, their substantial alteration of the gastrointestinal anatomy and concomitant physiology will markedly affect the absorption of oral medications.6 This may lead to reduced plasma concentrations7 or alternatively supratherapeutic concentrations that carry risk of toxicity.6, 8
Published evidence indicates that drug‐ and alcohol‐related harms and deaths are increasing in bariatric surgery patients, with most deaths occurring several years postoperatively and as a result of unintentional overdose, although intentional overdose has also been documented.9, 10, 11, 12, 13, 14, 15 Prescription opioids represent a consistent pathway to harm, with chronic pain reported by significant proportions of patients both preoperatively and postoperatively16, 17, 18; this risk is likely compounded by a high prevalence of mental health issues in this patient cohort.19, 20 However, most evidence has been derived from administrative datasets that lack toxicological detail, with limited ability to distinguish between prescribed vs. non‐prescribed medications or illicit substance use.
The National Programme on Substance Use Mortality (NPSUM) collects coroner reports on deaths involving psychoactive substances across England, Wales and Northern Ireland. Using this dataset, we examined deaths in post‐bariatric surgery patients, describing their demographics, clinical profiles, substances detected and prescribing patterns. This may provide insight into overdose risk and inform targeted prevention strategies in this patient population.
METHODS
2
NPSUM
2.1
Established in 1997, the NPSUM collates death reports related to psychoactive drug use from coroners in England, Wales and Northern Ireland. Coroners voluntarily report to NPSUM if psychoactive drugs were detected and/or implicated in causing the death or if the decedent had a history of drug use.
Coroners collate information from a variety of sources, including statements from witnesses, family and friends; reports from first responders; post‐mortem and toxicology reports; and healthcare records from general practitioners, hospitals and drug and alcohol services.
Study design
2.2
We retrospectively identified relevant NPSUM cases reported between 1997 and 1 March 2025 where decedents had a past medical history of bariatric surgery by searching the cause(s) of death, accident details and past medical/social history fields for the following terms: ‘balloon’, ‘band’, ‘bariatric’, ‘biliopancr*’, ‘bypass’, ‘gastr*’, ‘roux’, ‘sleeve’ and ‘weight’. We screened the structured fields to exclude cases that did not meet inclusion criteria.
Data analysis
2.3
Data collection, analysis and statistics were conducted using IBM® SPSS™ version 29 and Microsoft Excel 365. Summary statistics from all cases reported to the NPSUM were also retrieved for comparative interpretations.
Ethics
2.4
The King's College London Biomedical & Health Sciences, Dentistry, Medicine and Natural & Mathematical Sciences Research Ethics Sub‐Committee reconfirmed (August 2025) that analyses of NPSUM data do not require ethics review as all subjects are deceased.
RESULTS
3
Eighteen decedents with a bariatric surgery history were identified. Gastric bypass was the most common procedure that had been performed (67% of cases, n = 12/18), followed by gastric band placement (n = 2/18) and sleeve gastrectomy (n = 1). In three cases, the procedure performed was not specified.
Post‐mortem, implicated and prescribed drugs
3.1
Multiple substances were detected at post‐mortem in all cases (median 6; range 4–11). All cases featured licensed medications, with only two cases featuring illicit substances (cannabis n = 2/18, cocaine n = 1/18). Alcohol was detected in four cases but in all instances at a level below the drink‐drive limit in England (mean 42.5 ± 18.2 mg/dL, range 19–63 mg/dL; note: alcohol detections attributed to post‐mortem production [≤10 mg/dL in blood]21 were excluded). Opioids were the most commonly detected drug class featuring in all but one case (94.4% of cases, n = 17/18), with antidepressants the second most commonly detected (83.3% of cases, n = 15/18), followed by non‐opioid analgesics (72.2% of cases, n = 13/18; Table 1).
Similarly, opioids were the drug class most commonly implicated in causing death (94.4% of cases, n = 17/18), followed by antidepressants (44.4% of cases, n = 8/18; Table 1). In only one case was a non‐opioid analgesic implicated in causing death, and in this instance, it was implicated as the combined preparation co‐codamol. The third most commonly implicated drug class was the gabapentinoids (38.9% of cases, n = 7/18; Table 1). In the single case where cocaine was detected, it was implicated in causing death, with a post‐mortem blood concentration of 6.6 mg/L, which is within the fatal range.22, 23 Both THC detections were considered incidental post‐mortem findings.
Where prescribing history was known (94.4% of cases, n = 17/18), psychoactive medication was prescribed in 16 cases (median 3.5 medications; range 1–7). One or more of these medications was implicated in causing death in 81.3% of these cases (n = 13/16). Medications without an active prescription were present in most cases (70.6%, n = 12/17).
Underlying cause and manner of death
3.2
All deaths were deemed to have been caused by acute drug toxicity. Regarding manner of death, 12 were determined to have been accidental in nature (75% of cases), five as suicides (27.8% of cases) and one of undetermined intent (5.6% of cases).
Past medical history
3.3
A past medical history was provided in all cases. There was a high prevalence of mental health conditions (77.8% of cases, n = 14/18; Table 2) with depression the most commonly cited (33.3% of cases, n = 6/18). There was also high incidence of chronic pain (50.0% of cases, n = 9/18), with 22.2% citing a history of previous overdose (n = 4/18). Obstructive sleep apnoea was listed as a comorbidity in two cases (11.1%) and chronic obstructive pulmonary disease (COPD) in three cases (16.7%).
Demographics
3.4
There were more deaths in females at complete contrast to the all NPSUM trend (X ^2^ p < 0.001; Table 3), with bariatric case decedents significantly older (Student's t test p < 0.05; Table 3). Where information was provided (83.3% of cases, n = 15/18), bariatric case decedents were majority living with other people and unemployed (Table 3). Where indices of multiple deprivation could be obtained (94.4% of cases, n = 17/18), bariatric case decedents were majority living in the most deprived areas (Table 3). In only one bariatric case was there a known history of drug use, a significantly lower rate than the all NPSUM cohort (X ^2^ p < 0.001; Table 3).
DISCUSSION
4
We have presented a case series of post‐bariatric surgery patients who died due to drug overdose. The high incidence of opioid involvement, together with frequent detection of other analgesics, suggests that this patient population faces specific risks regarding pharmacological pain management. When combined with a high incidence of antidepressant use, mental health problems and suicide in a predominantly female cohort, this reflects a vulnerable population requiring integrated aftercare to mitigate risks of both intentional and unintentional overdose.
Altered pharmacokinetics
4.1
Most opioids are weak bases (pKa ~ 7.5–924). In the acidic fasted stomach (pH ~ 1–3),25 they are largely ionized which limits their absorption.26 Bariatric surgery alters this environment, as resection or bypass of stomach acid‐producing regions reduces hydrochloric acid output.27 In addition, stomach pH can be further increased upon alkaline bile reflux from the small intestine into the gastric pouch.28, 29 Indeed, post‐bariatric surgery fasting gastric pH values have been reported in the pH ~ 4–6 range.30 The reduced acidity of gastric contents entering the duodenum can therefore increase proximal small intestinal pH.31, 32 Collectively, these changes may facilitate the absorption of weak base opioids in both the stomach and small intestine, enhancing their toxicity profile. Given that most antidepressants possess similar physicochemical properties,33 comparable effects leading to their increased absorption may also occur.
However, bariatric surgery also accelerates gastric emptying34, 35, 36 and reduces small intestine surface area,36, 37 shortening the oral drug absorption window. Extended‐release formulations (e.g., OxyContin®, MS Contin® and Effexor XR®) may therefore deliver subtherapeutic exposure.38 Conversely, higher gastric pH may trigger premature dissolution of extended‐release preparations that utilize pH‐dependent polymer coatings designed to dissolve only once exposed to pHs in the ~5.5–6.5 range38 potentially triggering premature or erratic drug release; such ‘dose dumping’39 may cause transient supratherapeutic plasma concentrations, with associated risks of toxicity.
Taken together, these physiological and anatomical alterations mean that bariatric surgery may unpredictably increase or decrease systemic drug exposure, depending on the surgical procedure, the drug's physicochemical properties and its formulation, which may be contributing to the high rate of accidental overdose observed in this cohort. While quantifications were performed for some of the drugs detected, the small sample size, unknown drug formulations and doses and variable intervals between death and sampling unfortunately preclude firm conclusions regarding altered pharmacokinetics or differences from concentrations reported in non‐surgical overdose cases.
High mental health and chronic pain burden
4.2
Depression, anxiety and antidepressant use were common in this cohort, consistent with previous literature reporting high psychiatric morbidity pre‐surgery and post‐surgery.19, 20 While bariatric procedures often improve obesity‐related comorbidities (e.g., type 2 diabetes and heart disease),1, 2, 3, 4, 5 psychological outcomes are more variable, with some patients experiencing persistent or worsening mood symptoms: a recent meta‐analyses showed increased long‐term suicide risk compared with the general population.19 In this study, one‐third of deaths met Office for National Statistics suicide criteria (all deaths deemed suicide and of undetermined intent in those aged ≥1040), which alongside frequent histories of previous overdose indicates a population with increased mental health vulnerability. Other obesity‐related comorbidities, namely, obstructive sleep apnoea and COPD, were also present in a minority of cases and were not considered contributory to death.
Half of the cases reported chronic pain, aligning with evidence that musculoskeletal pain, neuropathic pain and pain syndromes often persist post‐weight loss.16, 17, 18 This often results in prolonged analgesic use,16, 41 which matches the drugs most commonly detected at post‐mortem in this study. The combination of mental health diagnoses and chronic pain can foster polypharmacy,41 and—as described above—bariatric surgery can alter drug pharmacokinetics such that standard doses may produce higher peak plasma concentrations,6, 42 increasing toxicity risk, or alternatively, lower peak concentrations,6, 42 prompting repeated dosing that can elevate risk of adverse effects. With regard to antidepressants, subtherapeutic dosing may fail to achieve adequate symptom control and elevate suicide risk.
Prescription drug vulnerability in a low illicit drug use cohort
4.3
In this case series, illicit drug use was rare, alcohol use was low and there was only one case with a documented history of drug use. Despite this, prescription medications—often without active prescriptions—were frequently implicated in causing death. This suggests that, while not engaging in typical patterns of dependent or recreational drug use,43, 44, 45 these patients' medicalized background, and chronic pain and mental health conditions may have facilitated their access to and confidence in using prescription medications, thus creating a distinct risk profile for self‐directed prescription drug use. Conventional harm reduction initiatives, which majority target illicit drug use,46 will therefore likely not be successful if applied to this population. Given the routine long‐term clinical follow‐up inherent to post‐bariatric surgical care,47 there is opportunity to integrate long‐term monitoring and preventive interventions into appointments, with proactive management of mental health, chronic pain and medication use providing a practical and targeted approach to educate patients on drug safety.
Future research
4.4
Pharmacokinetic changes post‐bariatric surgery are poorly understood, and current evidence is insufficient for prescribing guidance.6 Until standardized studies are performed to evaluate the impact of different bariatric surgery techniques, a clinical pharmacologist should be involved in the bariatric surgery multidisciplinary meetings where prospective patients are discussed, and therapeutic drug monitoring should be routine for patients post‐surgery.42
Limitations
4.5
The NPSUM relies on voluntary coroner reports and incomplete past medical histories, so bariatric patient deaths are likely underestimated.
CONCLUSION
5
Bariatric surgery patients face unique overdose risks due to altered pharmacokinetics and comorbidities of chronic pain and mental health conditions. Prescribers should be cautious when initiating or adjusting opioid, antidepressant or other pH‐/formulation‐sensitive medications. Despite low illicit drug and alcohol use, prescription medications were commonly implicated in causing death, reflecting a vulnerability linked to medicalized knowledge and ongoing healthcare requirements. Conventional harm reduction initiatives for drug use are unlikely to be effective in this patient population; instead, integrated aftercare addressing mental health, pain and medication safety, with tailored patient education, may be more effective in reducing harm.
AUTHOR CONTRIBUTIONS
Eman Mshari: Validation; formal analysis; investigation; writing—original draft; writing—review and editing; visualization. Fannie LaJeunesse‐Trempe: Conceptualization; writing—review and editing. Stephen Morley: Conceptualization; writing—review and editing. Caroline Copeland: Conceptualization; methodology; validation; resources; data curation; writing—review and editing; supervision; project administration; funding acquisition.
CONFLICT OF INTEREST STATEMENT
The authors have no conflicts of interest to declare.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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