Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2021 Jul 22;11:14948. doi: 10.1038/s41598-021-94212-6

Cannabis constituents interact at the drug efflux pump BCRP to markedly increase plasma cannabidiolic acid concentrations

Lyndsey L Anderson 1,2, Maia G Etchart 2, Dilara Bahceci 1, Taliesin A Golembiewski 1, Jonathon C Arnold 1,2,
PMCID: PMC8298633  PMID: 34294753

Abstract

Cannabis is a complex mixture of hundreds of bioactive molecules. This provides the potential for pharmacological interactions between cannabis constituents, a phenomenon referred to as “the entourage effect” by the medicinal cannabis community. We hypothesize that pharmacokinetic interactions between cannabis constituents could substantially alter systemic cannabinoid concentrations. To address this hypothesis we compared pharmacokinetic parameters of cannabinoids administered orally in a cannabis extract to those administered as individual cannabinoids at equivalent doses in mice. Astonishingly, plasma cannabidiolic acid (CBDA) concentrations were 14-times higher following administration in the cannabis extract than when administered as a single molecule. In vitro transwell assays identified CBDA as a substrate of the drug efflux transporter breast cancer resistance protein (BCRP), and that cannabigerol and Δ9-tetrahydrocannabinol inhibited the BCRP-mediated transport of CBDA. Such a cannabinoid-cannabinoid interaction at BCRP transporters located in the intestine would inhibit efflux of CBDA, thus resulting in increased plasma concentrations. Our results suggest that cannabis extracts provide a natural vehicle to substantially enhance plasma CBDA concentrations. Moreover, CBDA might have a more significant contribution to the pharmacological effects of orally administered cannabis extracts than previously thought.

Subject terms: Pharmacokinetics, Pharmacology

Introduction

Cannabis is a complex mixture of bioactive molecules including cannabinoids, terpenoids and flavonoids. There are around > 120 terpenophenolic cannabinoids found in cannabis including the major cannabinoids, Δ9-tetrahydrocannabinol (Δ9-THC) and cannabidiol (CBD). CBD and Δ9-THC have undergone extensive pharmacological characterization; however, other cannabinoids also possess biological activity and may contribute to the pharmacological effects of medicinal cannabis1, 2. Indeed, there is emerging evidence that acidic precursors of the neutral forms of the cannabinoids have pharmacological activity35. These acidic precursors are abundant in the plant and can achieve appreciable plasma concentrations following the ingestion of medicinal cannabis products4, 5. Medicinal cannabis products contain a multitude of both acidic and neutral cannabinoids amongst other phytochemicals, each with a complex pharmacology, so there is the potential for interactions between cannabis constituents.

A prevailing sentiment in the cannabis community of entrepreneurs and patient advocates is the notion of the "entourage effect," which postulates that effects of the whole cannabis plant are greater than the sum of its individual parts due to an interaction between its phytochemical constituents. While many favour the view that cannabis constituent interactions engender greater beneficial effects, such interactions might also enhance deleterious effects. Few studies have addressed the "entourage effect" hypothesis; however, there is growing evidence that the effects of full-spectrum cannabis extracts may not be attributed to an individual constituent. Recent studies have shown greater antitumor effects with Δ9-THC-rich cannabis extracts compared to purified Δ9-THC6, 7. Several preclinical studies have examined the effects of cannabinoids administered in combination. CBD enhanced the anticonvulsant action of Δ9-THC against thermally-induced seizures in a mouse model of Dravet syndrome, although the combination of CBD and Δ9-THC had proconvulsant effects on spontaneous seizures8. High potency synergy was reported for CBD and Δ9-THC against allodynia in a mouse model of neuropathic pain with less motor side-effects9.

Cannabis-based products have gained widespread media attention over the last decade due to artisanal CBD-dominant extracts being reported to have remarkable anticonvulsant effects in children with intractable epilepsies10. More recently there has been a "CBD craze", with a substantial increase in demand for cannabis-based products which are perceived to treat a myriad of health conditions11. These products, which contain a multitude of cannabinoids, are administered at much lower doses than purified forms of CBD and Δ9-THC that have been shown to be effective in clinical trials10, 11. Consistent with the “entourage effect” hypothesis it has been suggested that pharmacodynamic interactions between phytochemicals in cannabis occur due to a concerted action at an individual drug target or via activating complementary pathways. However, an "entourage effect" could also arise from pharmacokinetic interactions between components in medicinal cannabis, whereby the absorption, distribution, metabolism and excretion of the cannabinoids are affected. Indeed, pharmacokinetic interactions have been observed between cannabinoids with co-administration resulting in increased cannabinoid concentrations in tissues and blood8, 12, 13.

In the present study we aimed to explore the potential for pharmacokinetic interactions between cannabinoids within a full-spectrum cannabis extract administered orally. Oral administration is an increasingly preferred mode of delivery of cannabis oils and is the dominant mode of delivery for childhood epilepsy patients10, 11, 14. We compared the pharmacokinetic parameters of cannabinoids administered as an extract to those when administered as an individual compound at equivalent doses.

Results

The pharmacokinetic profiles of various cannabinoids administered in a full-spectrum cannabis extract differ substantially from cannabinoids administered as single molecules at equivalent doses

The cannabinoid profile of the full-spectrum cannabis extract was diverse, containing the greatest quantities of cannabidiolic acid (CBDA), Δ9-tetrahydrocannabinolic acid (Δ9-THCA), CBD and Δ9-THC (Fig. 1a). To infer whether compound-compound interactions alter the pharmacokinetic profile of the cannabinoids in the full-spectrum extract, we compared the profiles of the cannabinoids administered in a full-spectrum extract to those of the cannabinoids administered as individual components (Fig. 1). The full-spectrum extract was administered orally as a single dose and plasma cannabinoid concentrations were quantified. CBC, cannabidivarin (CBDV), cannabigerol (CBG), cannabinol (CBN) and Δ9-tetrahydrocannabivarin (Δ9-THCV) were not detected in plasma following oral administration of the full-spectrum extract so no further pharmacokinetic characterization of these cannabinoids was conducted.

Figure 1.

Figure 1

Pharmacokinetic analysis of orally administered cannabinoids in mouse plasma. Cannabinoids were administered orally as either a full-spectrum cannabis extract or individually at equivalent doses to those in the full-spectrum extract. (a) Dose and profile of cannabinoids within the full-spectrum extract (left panel) vs. the cannabinoids administered individually (right panel). Concentration–time curves for (b) CBDA, (c) CBD (d) CBDVA (e) CBGA (f) Δ9-THC and (f) Δ9-THCA. Concentrations are depicted as both mass concentrations (left y-axis) and molar concentrations (right y-axis) for each cannabinoid administered as a full-spectrum extract (solid symbols) or as an individual compound (open symbols). Data are expressed as means ± SEM, with n = 4–5 per time point.

Six cannabinoids were detected in plasma following oral administration of the full-spectrum extract: CBD, CBDA, cannabidivarinic acid (CBDVA), cannabigerolic acid (CBGA), Δ9-THC and Δ9-THCA. Each was then administered orally as an individual compound at an equivalent dose to that found in the full-spectrum extract.

Astonishingly, the plasma CBDA concentrations that were observed following administration of the full-spectrum cannabis extract were substantially higher than that observed when CBDA was administered as a single molecule at an equivalent dose (Fig. 1b). Accordingly, the plasma Cmax value of CBDA within the full-spectrum extract (47 ± 4 µg/mL) was substantially higher than the Cmax value achieved as a single molecule (6 ± 1 µg/mL). Moreover, total exposure of CBDA as determined by AUC values when administered in a full-spectrum extract was nearly 14 × the exposure that was observed following its administration as an individual compound (Fig. 1b, Table 1). Conversely, the plasma concentrations of CBD, CBDVA, CBGA, Δ9-THC and Δ9-THCA following administration of the full-spectrum extract were substantially lower when they were administered as single molecules at equivalent doses; the total plasma exposure of each was nearly 2–4 ×  lower following administration in the full-spectrum extract to when administered individually (Fig. 1c–g, Table 1).

Table 1.

Pharmacokinetics of cannabinoids in plasma following oral administration as a full-spectrum extract or individual cannabinoid.

CBD, 25 mg/kg CBDA, 50 mg/kg CBDVA, 7 mg/kg CBGA, 7 mg/kg THC, 15 mg/kg THCA, 50 mg/kg
Extract CBD Extract CBDA Extract CBDVA Extract CBGA Extract THC Extract THCA
Cmax (ng/mL) 60 ± 6 304 ± 28 47 ± 4 µg/mL 6 ± 1 µg/mL 11 ± 1 µg/mL 26 ± 2 µg/mL 12 ± 1 µg/mL 48 ± 2 µg/mL 127 ± 15 341 ± 40 465 ± 64 2094 ± 74
tmax (min) 60 90 60 90 60 15 60 120 60 90 45 30
t1/2 (min) 484 217 310 198 120 150 298 n.d 330 210 46 37
AUC (µg min/mL) 43 104 22,779 1635 3844 7459 5172 8667* 62 116 44 173

n.d. not determined.

*AUC does not include terminal phase.

Absorption of the cannabinoids into plasma following oral administration of the full-spectrum extract was slow with tmax values of 45–60 min (Table 1). While CBD, CBDA, CBGA and Δ9-THC were all maximally absorbed (tmax) by 60 min when administered as a full-spectrum extract, plasma tmax values were delayed (90–120 min) when each were administered individually (Fig. 1, Table 1). In contrast, absorption of CBDVA (tmax 15 min) and Δ9-THCA (tmax 30 min) was more rapid as individual cannabinoids compared to within the full-spectrum extract (tmax values 60 and 45 min, respectively).

Interestingly, when administered in the full-spectrum extract the cannabinoids had relatively long half-lives, 484 min (CBD), 310 min (CBDA), 120 min (CBDVA), 298 min (CBGA) and 330 min (Δ9-THC), with the exception of Δ9-THCA (t1/2 46 min) and were, for the most part, longer than those when the cannabinoids were administered individually, 217 min (CBD), 198 min (CBDA), 210 min (Δ9-THC) and 37 min (Δ9-THCA). The half-life of CBDVA, however, was slightly longer when administered as a single compound (150 min vs. 120 min). Since the tmax of CBGA was 120 min, there were not enough data points in the elimination phase to calculate a t1/2 value.

Overall, the differing pharmacokinetic parameters for the cannabinoids when administered in a full-spectrum extract compared to as individual compounds indicate pharmacokinetic interactions might be occurring between cannabinoids within the full-spectrum extract.

CBDA, CBD, CBDVA, CBG and Δ9-THC are BCRP substrates

Drug transporters, including ATP-binding cassette (ABC) transporters, facilitate the movement of substrates across biological membranes and transporter-mediated interactions within the intestinal lumen can profoundly affect oral bioavailability of co-administered drugs. The best characterised ABC transporters, P-glycoprotein and breast cancer resistance protein (BCRP), are located on the apical surface of epithelial cells in the intestine and extrude substrates back into the intestinal lumen, thereby limiting systemic absorption. Cannabinoids are both substrates and/or inhibitors of ABC transporters so we aimed to examine whether the converging action of the cannabinoids on these transporters might provide a mechanism for the pharmacokinetic interaction observed here1519.

We first aimed to determine whether the cannabinoids found in the full-spectrum cannabis extract were substrates of P-glycoprotein and BCRP by using MDCK cells expressing human P-glycoprotein or BCRP in vitro. Transwell assays were conducted to assess bidirectional transport of the cannabinoids detected in plasma following administration of the full-spectrum cannabis extract (CBD, CBDA, CBDVA, CBGA, Δ9-THC and Δ9-THCA), including the respective neutral compounds (CBDV and CBG) across wildtype, BCRP and P-glycoprotein MDCK cell monolayers. Permeability in the basolateral to apical (B > A) and apical to basolateral (A > B) directions were determined for each of the transporters and compared to respective permeabilities in the wildtype control cells. BCRP and P-glycoprotein preferentially transport substrates in the B > A direction.

CBD, CBDA and CBDVA were BCRP substrates, as the cell permeabilities of these compounds in the B > A direction was significantly greater in the BCRP overexpressing cells than in wildtype cells (CBD, p = 0.0105; CBDA, p = 0.0002; CBDVA, p = 0.0028) without impacting the A > B direction (Fig. 2a–c, Table 2). Moreover, the efflux ratios (r) calculated for each cannabinoid further support the characterization of CBD, CBDA and CBDVA as BCRP substrates, as they exceeded the generally accepted transport ratio threshold of 1.5 for BCRP substrates20, 21. Additionally, the BCRP inhibitor elacridar (10 µM) significantly inhibited the transport of these three cannabinoid substrates (CBD, p = 0.0249; CBDA, p < 0.0001; CBDVA, p < 0.0001; Fig. 2a-c).

Figure 2.

Figure 2

CBD, CBDA, CBDVA, CBG and Δ9-THC are substrates of BCRP. Concentration–time curves for (a) CBDA, (b) CBD, (c) CBDVA, (d) CBG and (e) Δ9-THC in wildtype (left panel) and BCRP-expressing (middle panel) MDCK cells in the basolateral to apical (B > A) and apical to basolateral (A > B) directions. Right panels represent concentration–time curves for cannabinoids in cells expressing BCRP in the presence of the inhibitor elacridar (dashed lines). Data are expressed as means ± SEM, with n = 4 per time point. Curves represent fits to a linear regression and transport efflux ratios (r) are listed (*p < 0.05, **p < 0.005, ***p < 0.0005 compared to wildtype; Extra sum-of-squares F test).

Table 2.

Permeabilities of cannabinoids in wildtype, BCRP and P-glycoprotein MDCK cells.

Wildtype BCRP P-glycoprotein
Substrate P (B > A) P (A > B) r P (B > A) P (A > B) r P (B > A) P (A > B) r
CBD 25 ± 3 41 ± 5 0.6 ± 0.2 86 ± 20* 52 ± 8 1.6 ± 0.3 15 ± 3 25 ± 7 0.6 ± 0.3
CBD + Elacridar 37 ± 6a 37 ± 6 1.0 ± 0.2
CBDA 37 ± 9 31 ± 8 1.2 ± 0.3 162 ± 24*** 38 ± 11 4.2 ± 0.3 38 ± 4 24 ± 7 1.5 ± 0.3
CBDA + Elacridar 42 ± 6b 121 ± 48 0.3 ± 0.3
CBDV 44 ± 5 43 ± 5 1.0 ± 0.2 90 ± 9*** 63 ± 14 1.4 ± 0.2 34 ± 3 30 ± 8 1.1 ± 0.3
CBDV + Elacridar 68 ± 7* 49 ± 8 1.4 ± 0.2
CBDVA 25 ± 2 22 ± 3 1.1 ± 0.2 47 ± 6** 24 ± 9 2.0 ± 0.4 22 ± 2 14 ± 4 1.6 ± 0.3
CBDVA + Elacridar n/a n/a n/a 8 ± 1b n.d n.d
CBG 10 ± 3 12 ± 5 0.8 ± 0.5 53 ± 10*** 47 ± 9** 1.1 ± 0.3 14 ± 2 19 ± 5 0.7 ± 0.3
CBG + Elacridar 19 ± 6a n.d n.d
CBGA 1 ± 1 n.d n.d 5 ± 1 n.d n.d 3 ± 1 5 ± 2 0.7 ± 0.5
Δ9-THC 3 ± 1 9 ± 3 0.3 ± 0.3 74 ± 28* 54 ± 17* 1.4 ± 0.5 4 ± 1 9 ± 3 0.5 ± 0.4
Δ9-THC + Elacridar 11 ± 2**,a 15 ± 3a 0.7 ± 0.2
Δ9-THCA n.d n.d n.d 6 ± 2 n.d n.d 8 ± 3 17 ± 5 0.5 ± 0.4

P Permeability calculations (× 10−5 cm/s).

n.d. not determined; slope of concentration–time curve was not significantly different from zero.

*p < 0.05, **p < 0.005, ***p < 0.0005 compared to corresponding wildtype condition.

ap < 0.05, bp < 0.0001 compared to without inhibitor.

CBG and Δ9-THC were also weak substrates of BCRP (Fig. 2d,e Table 2). BCRP permeabilities in the B > A direction were significantly greater than those of wildtype cells (CBG, p = 0.0002 and Δ9-THC, p = 0.0183; Fig. 2, Table 2). Because permeabilities in the A > B direction for cells expressing BCRP were also significantly greater than for wildtype cells (CBG, p = 0.0018 and Δ9-THC, p = 0.0125) the transport ratios for CBG (1.1 ± 0.3) and Δ9-THC (1.4 ± 0.5) were below the threshold for BCRP substrates. However, because BCRP-mediated transport of both CBG and Δ9-THC was significantly inhibited by elacridar (CBG, p = 0.0118 and Δ9-THC, p = 0.0361) these cannabinoids were deemed weak BCRP substrates (Fig. 2d,e). The B > A directional permeability of CBDV in cells expressing BCRP was significantly greater that that of wildtype cells (p = 0.0001) suggesting CBDV might be a BCRP substrate; however, CBDV transport was not inhibited by elacridar so CBDV was not considered a substrate of BCRP (Table 2).

CBD, CBDA, CBDVA, CBG and Δ9-THC were not P-glycoprotein substrates, with transport ratios < 2.5, which is the accepted threshold for P-glycoprotein substrates (Table 2)20. CBGA, CBDV and Δ9-THCA were not substrates of either BCRP or P-glycoprotein. Transport ratios for CBGA and Δ9-THCA could not be calculated in wildtype or BCRP-expressing cells since rates of transport were not significantly different from zero. While transport of CBGA and Δ9-THCA was achieved in cells expressing P-glycoprotein, it was minimal and transport ratios were 0.7 ± 0.5 and 0.5 ± 0.4, respectively (Table 2).

CBG and Δ9-THC inhibit BCRP-mediated transport of CBDA

Since CBDA was identified as a BCRP substrate, it is possible that cannabinoids within the full-spectrum extract inhibited BCRP-mediated efflux of CBDA in the intestinal lumen, which would enhance plasma CBDA exposure following oral dosing with the full-spectrum extract. Hence, we investigated whether the cannabinoids identified as BCRP substrates (CBD, CBDVA, CBG and Δ9-THC) inhibited BCRP-mediated transport of CBDA, as substrates may competitively inhibit the transport of other substrates. Rates of CBDA transport in both the B > A and A > B directions were significantly inhibited by 10 µM CBG and Δ9-THC (B > A: p = 0.0015 and p = 0.0131, respectively; A > B: p < 0.0001 and p = 0.0007, respectively) resulting in lower transport ratios (Fig. 3, Table 3). Neither CBD nor CBDVA affected CBDA transport via BCRP. CBDA permeability was also examined in the presence of a mixture of all four cannabinoids and a lower transport ratio was observed; however, the mixture only significantly increased A > B permeability (p < 0.0001) (Fig. 3f, Table 3).

Figure 3.

Figure 3

CBG and Δ9-THC inhibit BCRP-mediated transport of CBDA. Concentration–time curves for CBDA in the presence of (a) vehicle, (b) CBG, (c) Δ9-THC and (d) CBD, (e) CBDVA and (f) a mixture of all four cannabinoids in the basolateral to apical (B > A) and apical to basolateral (A > B) directions in cells expressing BCRP. Cannabinoids were tested at 10 µM. CBG and Δ9-THC significantly inhibit (red shading) transport of CBDA. Data are expressed as means ± SEM, with n = 4 per time point. Curves represent fits to a linear regression and transport efflux ratios (r) are listed (*p < 0.05, ***p < 0.0005, ****p < 0.0001 compared to vehicle; Extra sum-of-squares F test). (g) Schematic of CBDA efflux by BCRP located in the intestinal lumen when administered alone (left panel) or as a full-spectrum cannabis extract where its efflux is inhibited by CBG and Δ9-THC (right panel). Schematic created using BioRender.com.

Table 3.

BCRP permeabilities of CBDA in the presence of cannabinoids.

CBDA
Inhibitor P (B > A) P (A > B) r
Vehicle 60 ± 3 10 ± 1 5.8 ± 0.1
CBD 59 ± 3 10 ± 1 5.9 ± 0.1
CBDVA 63 ± 4 8 ± 1 8.0 ± 0.1
CBG 44 ± 3*** 30 ± 2**** 1.5 ± 0.1
THC 47 ± 4* 21 ± 3*** 2.3 ± 0.2
Mixture 53 ± 4 25 ± 3**** 5.8 ± 0.1

P Permeability calculations (× 10−5 cm/s).

*p < 0.05, ***p < 0.0005, ****p < 0.0001 compared to vehicle.

CBD but not the other phytocannabinoids modestly inhibited BCRP-mediated transport of prazosin

We also assessed substrate specificity of inhibition by assessing whether the BCRP substrates CBDA, CBG, Δ9-THC, CBD and CBDVA (10 µM) similarly inhibited transport of the established BCRP substrate prazosin. Elacridar, the positive control BCRP inhibitor significantly reduced the transport ratio of prazosin compared to vehicle (B > A, p = 0.0006; A > B, p < 0.0001; Fig. 4a,b; Table 4). Interestingly, CBD was the only cannabinoid to significantly reduce the permeability of prazosin in the B > A direction (p = 0.0284) so was identified as an inhibitor of BCRP (Fig. 4, Table 4).

Figure 4.

Figure 4

CBD inhibits BCRP-mediated transport. Concentration–time curves for prazosin in the presence of (a) vehicle, (b) elacridar, (c) CBD (d) CBDA, (e) CBDVA, (f) CBG or (g) Δ9-THC in the basolateral to apical (B > A) and apical to basolateral (A > B) directions in cells expressing BCRP. Elacridar and CBD significantly inhibit (red shading) transport of prazosin. Data are expressed as means ± SEM, with n = 3–4 per time point. Curves represent fits to a linear regression and transport efflux ratios (r) are listed (*p < 0.05, **p < 0.005, ***p < 0.0005 compared to vehicle; Extra sum-of-squares F test).

Table 4.

Permeability of prazosin in the presence of cannabinoids.

BCRP, prazosin
Inhibitor P (B > A) P (A > B) r
Vehicle 189 ± 7 18 ± 2 10.5 ± 0.1
CBD 147 ± 20* 15 ± 3 9.9 ± 0.2
CBDA 187 ± 10 13 ± 3 14.0 ± 0.2
CBDVA 201 ± 4 15 ± 3 13.9 ± 0.2
CBG 196 ± 8 22 ± 2 9.1 ± 0.1
Δ9-THC 201 ± 8 18 ± 2 11.2 ± 0.1
Elacridar 151 ± 7** 81 ± 4*** 1.9 ± 0.1

P Permeability calculations (× 10−2 cm/s).

n.d. not determined; slope of concentration–time curve was not significantly different from zero.

*p < 0.05, **p < 0.005, ***p < 0.0005 compared to corresponding vehicle condition.

The effect of the five BCRP substrates on P-glycoprotein function was also examined using digoxin as a substrate (Fig. 5, Table 4). Interestingly, CBDA was not a substrate of P-glycoprotein but was an inhibitor as it was the only cannabinoid to significantly reduce the permeability of digoxin in the B > A direction (p = 0.0481).

Figure 5.

Figure 5

CBDA inhibits P-glycoprotein-mediated transport. Concentration–time curves for prazosin in the presence of (a) vehicle, (b) loratadine, (c) CBDA (d) CBD, (e) CBDVA, (f) CBG or (g) Δ9-THC in the basolateral to apical (B > A) and apical to basolateral (A > B) directions in cells expressing BCRP. Elacridar and CBD significantly inhibit (red shading) transport of prazosin. Data are expressed as means ± SEM, with n = 3–4 per time point. Curves represent fits to a linear regression and transport efflux ratios (r) are listed (*p < 0.05, compared to vehicle; Extra sum-of-squares F test).

Discussion

Here we provide evidence for pharmacokinetic interactions between cannabinoids within a full-spectrum cannabis extract. The pharmacokinetic profiles of the cannabinoids when administered in a cannabis extract were markedly different to those when delivered as individual compounds at equivalent doses. Notably, CBDA plasma concentrations were substantially increased, with the total CBDA plasma exposure being 14-fold higher when administered in a cannabis extract than when administered as a single molecule. Conversely, the peak plasma concentrations of the other cannabinoids (e.g. CBD, Δ9-THC and Δ9-THCA) were considerably lower. The dramatic increase in plasma CBDA exposure likely results, at least in part, from cannabinoid-cannabinoid interactions at the ABC transporter BCRP in the intestinal lumen. We found that CBDA was a substrate of BCRP and that its transport was inhibited by Δ9-THC and CBG in vitro. Since CBDA is a BCRP substrate, systemic absorption of orally administered CBDA would be limited by BCRP transporters located in the apical membrane of the intestine. CBG or Δ9-THC inhibiting BCRP-mediated CBDA efflux back into the intestinal lumen would result in increased plasma concentrations of CBDA (Fig. 3g).

Our results here provide a potential mechanism explaining the high plasma CBDA concentrations observed following oral dosing of cannabis oils in a human study5. This study measured concentrations of CBD and CBDA in biological fluids of healthy individuals treated with an oral cannabis decoction and oil. Serum CBDA concentrations were approximately 20–30 times higher than serum CBD concentrations despite the products containing only 3–6 times the amount of CBDA compared to CBD5. A future human pharmacokinetic study could be conducted to test whether our results in mice translate to humans by utilising a similar study design. That is, plasma CBDA concentrations could be compared following oral administration of a CBD dominant cannabis oil versus a purified CBDA oil.

CBD-dominant cannabis-based nutraceutical oils are increasingly being used worldwide with users suggesting that they are effective in treating numerous ailments11. Our data suggest that CBDA might have a more significant contribution to the pharmacological effects of these nutraceutical products than previously thought. Given the emerging preclinical evidence that CBDA has anxiolytic, anti-inflammatory, anticonvulsant and antiemetic properties, it is plausible that CBDA might contribute to any medicinal properties of these cannabis-based products2225. However, future placebo-controlled randomized trials are required to examine whether CBDA has therapeutic effects in humans. Artisanal cannabis oils are being used to treat seizures in children with intractable epilepsies. However, as yet, there has been no satisfactory explanation for how these oils exert anticonvulsant effects since the CBD doses administered in these oils are substantially lower than those reported to be effective in reducing seizures in clinical trials10, 26, 27. Given that CBDA is anticonvulsant in the Scn1a+/− mouse model of Dravet syndrome, the present results suggest CBDA might contribute to the anticonvulsant effects of orally administered artisanal cannabis extracts24. Conversely, CBDA might contribute to the adverse effects of these oils, as its safety profile is not well understood.

In vitro transwell assays were used to determine whether ten cannabinoids were substrates of human BCRP and P-glycoprotein. CBD, CBDA, CBDVA, CBG and Δ9-THC were identified as substrates of BCRP. The identification of Δ9-THC as a BCRP substrate confirms a prior study in mice showing Δ9-THC was a Bcrp1 substrate15. That study also reported that Δ9-THC was a P-glycoprotein substrate (Mdr1a/Mdr1b) in mice, which is inconsistent with the present findings showing Δ9-THC is not a human P-glycoprotein substrate15. Moreover, CBD was not a substrate of mouse Bcrp1 but was demonstrated to be a human BCRP substrate here28. These inconsistencies suggest some caution when comparing mouse and human data on ABC transporter substrates. The identification of CBDA as an ABC transporter substrate is somewhat consistent with previous work where its brain-plasma ratio was significantly increased in a Tween-based vehicle compared to a vegetable oil vehicle24. Since non-ionic surfactants such as Tween80 are known to inhibit ABC transporters, inhibition of CBDA efflux by BCRP at the blood–brain barrier by Tween80 is a possible mechanism for the increased brain permeability29.

We also determined whether the cannabinoids were inhibitors of BCRP and P-glycoprotein. Previous in vitro and ex vivo studies reported that CBD, Δ9-THC and cannabis-based products inhibit BCRP1719. Consistent with these previous studies, CBD inhibited BCRP-mediated transport of prazosin. Surprisingly, CBD did not inhibit BCRP-mediated transport of CBDA; whereas, Δ9-THC and CBG inhibited CBDA but not prazosin transport by BCRP. These results further reinforce the importance of considering substrate specificity when evaluating potential transporter-mediated drug-drug interactions (DDIs), as substrate-specific inhibition is a common observation for BCRP and P-glycoprotein21, 3033. Binding sites and affinities of both the substrate and the inhibitor contributed to substrate-dependent interactions, especially with the ABC transporters for which multiple binding sites have been proposed30, 3335. The multiple drug binding sites of P-glycoprotein may explain why CBDA inhibited digoxin transport via P-glycoprotein but was not itself a substrate. Several P-glycoprotein inhibitors with allosteric mechanisms of action such as reduced substrate affinity, decreased ATPase activity, conformational changes that prevent substrate translocation and reduced rates of dissociation have been identified3639. Future studies could explore whether CBDA is a non-competitive inhibitor of P-glycoprotein and its mechanism of transporter inhibition.

Digoxin, a P-glycoprotein substrate with a narrow therapeutic window, has been implicated in several transporter-mediated DDIs. Cardiac and gastrointestinal toxicity has been reported for digoxin when co-administered with P-glycoprotein inhibitors such as quinidine4042. Since DDIs occurring at ABC transporters can have serious clinical consequences, an integral part of the drug development process for new candidates is to evaluate whether they are substrates, inhibitors and/or inducers of ABC transporters as required by drug regulatory agencies43. Here, only four of the cannabinoids (CBD, CBDA, CBG and Δ9-THC) inhibited ABC transporter function, suggesting the likelihood of transporter-mediated DDIs by cannabinoids is low. However, before a definitive conclusion on DDI liability can be made, additional distinct probe substrates should be screened so any potential DDIs resulting from substrate specificity are not overlooked.

While DDIs occurring at ABC transporters can have serious adverse effects, inhibition of transporters can also be therapeutically advantageous. Many anticancer and antimicrobial drugs are substrates of ABC transporters and, therefore, have low bioavailability4446. Rational drug design efforts have involved non-toxic BCRP and P-glycoprotein inhibitors, including excipients, to purposefully enhance oral absorption of substrates36, 4650. A similar therapeutic advantage of cannabinoids improving the low bioavailability of co-administered therapeutic drugs that are ABC transporter substrates could be explored in future studies.

Several limitations of the present study need to be considered. While not examined here, terpenoids and flavonoids inhibit ABC transporters and could contribute to the increased absorption of CBDA within the full-spectrum extract51, 52. Moreover, interactions mediated by the cytochrome P450 (CYP450) family of drug metabolizing enzymes could also contribute to pharmacokinetic entourage effects in cannabis. CYP450s tend to be the most common source of pharmacokinetic interactions since competition between two drugs for the same metabolizing pathway can drastically affect metabolism and elimination parameters. While the metabolic pathways are still unknown for many of the cannabinoids, CYP450-mediated metabolism contributes extensively to the elimination of CBD and Δ9-THC53. The prolonged t1/2 values observed for the cannabinoids when administered as a full-spectrum extract could be the consequence of interactions between the cannabinoids at the drug metabolizing CYP450 enzymes. Indeed, we recently reported that several phytocannabinoids found in the full-spectrum extract inhibited CYP450 enzymes including CYP3A4, CYP2C9, CYP1A2, CYP2B6 and CYP2C1954. While the CYP450 enzymes involved in the metabolism of CBDA have not been characterized, it is possible that cannabinoid inhibition of CYP450-mediated first-pass metabolism of CBDA could account for its increased plasma concentrations when administered as a full-spectrum extract compared to as an individual cannabinoid. In any case, the present observation of cannabinoid-CBDA interactions at the ABC transporter BCRP are very likely to contribute to the enhanced plasma CBDA concentrations that were observed following oral administration of a cannabis extract.

Conclusion

Many have been puzzled by the high bioavailability of CBDA in humans following the oral ingestion of CBD-dominant cannabis-derived nutraceutical oils5, 5557. Our results suggest that the oral administration of such cannabis extracts provides a natural vehicle to enhance plasma CBDA concentrations due to cannabinoid-cannabinoid interactions at the drug efflux transporter BCRP. Taken together with emerging preclinical evidence that CBDA has anti-emetic, anxiolytic and anticonvulsant effects, the present results highlight that the contribution of CBDA to the pharmacological effects of hemp nutraceutical products warrants further inspection. Our results showing pharmacokinetic interactions between cannabinoids provides one mechanism for the much touted "entourage effect" of cannabis.

Methods

Drugs

CBD, CBDA, CBDV, CBG, CBGA, Δ9-THC and Δ9-THCA were purchased from THC Pharm GmbH (Frankfurt, GER). CBGA was also purchased from Cayman Chemical (Ann Arbor, USA). CBDA was also generously provided by Medropharm GmbH (Schönenberg, CHE). CBDVA was synthesized by Professor Michael Kassiou at the University of Sydney. Elacridar, digoxin and loratadine were purchased from MedChem Express LLC (Princeton, USA). Prazosin and Lucifer Yellow CH dipotassium salt were purchased from Sigma-Aldrich (St. Louis, USA). The full-spectrum cannabis extract was purchased from Ecofibre (Brisbane, AUS) with its cannabinoid content presented in Supplemental Table 1. Terpene content of the full-spectrum extract in percent content (w/w) is as follows: β-caryophyllene, 0.525; β-linalool, 0.011; D-limonene, 0.006 and β-pinene, 0.004.

Animals

All animal care and procedures were approved by the University of Sydney Animal Ethics Committee (protocols 2016/1036 and 2017/1292) in accordance with the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes in compliance of the ARRIVE guidelines. Experimental mice were generated by breeding 129S6/SvEvTac (Australian BioResources; Moss Vale, AUS) with C57BL/6J (Jackson Laboratory stock 000664; Animal Resources Centre; Canning Vale, AUS). Mice were group-housed under a 12 h light/12 h dark cycle with ad libitum access to food and water.

Pharmacokinetic study

The full-spectrum cannabis extract and individual cannabinoids (CBD, CBDA, CBDVA, CBGA, Δ9-THC, Δ9-THCA) were prepared fresh on the day of the experiment as solutions in hemp seed oil (Hemp Foods Australia Pty Ltd; Bungalow, AUS). Hemp seed oil was devoid of any cannabinoids. Drugs were administered by oral gavage in a volume of 5 mL/kg. Wildtype male and female mice (postnatal day 21–28, P21-28) received a single oral gavage of either the full-spectrum cannabis extract or an individual cannabinoid. Cannabinoid doses within the full-spectrum extract or as an individual cannabinoid were as follows in mg/kg: CBDA and Δ9-THCA, 50; CBD, 25; Δ9-THC, 15; CBC, 9; CBDVA and CBGA, 7; CBN, 2.5; CBG, 1.5; CBDV and Δ9-THCV, < 1 (Fig. 1a). At selected time points (15–240 min), mice were anesthetized with isoflurane and whole blood was collected by cardiac puncture. Plasma was isolated by centrifugation (9000 g for 10 min, 4 °C) and stored at − 80 °C until assayed.

Analytical methods

Concentrations of cannabinoids in plasma samples were quantified as described previously8, 24, 58. Briefly, plasma samples were spiked with diazepam as an internal standard and protein precipitation was achieved by vortex-mixing with acetonitrile. The organic layer was isolated by centrifugation (4000 g for 10 min) and evaporated to dryness with N2. Samples were reconstituted in acetonitrile and 0.1% formic acid in water (1:3.3, v/v) for supported-liquid extraction (SLE) with methyl tert-butyl ether (MTBE) using Biotage Isolute SLE+ columns (Uppsala, SWE). Samples were evaporated to dryness with N2 and reconstituted in acetonitrile and 0.1% formic acid in water (1:1, v/v) for analysis by LC–MS/MS as previously described8, 10, 24, 58. Quantification of cannabinoids was achieved by comparing samples to standards prepared with known amounts of drug.

Pharmacokinetic calculations

Plasma concentrations at each time point were averaged and pharmacokinetic parameters were calculated by noncompartmental analysis. Elimination rate constants were determined by linear regression of the terminal component of the concentration–time curve using GraphPad Prism 8.2 (La Jolla, USA). The log-linear trapezoidal method was used to calculated total drug exposure (area under concentration–time curve) using equations described previously59.

Cell culture

Madin-Darby Canine Kidney II (MDCK) cell lines were generously provided by Dr. Alfred Schinkel (Netherlands Cancer Institute, NLD) by way of Associate Professor Joseph Nicolazzo (Monash University, AUS). Cell lines included wildtype MDCK cells and MDCK cells stably expressing human MDR1 (P-glycoprotein) or ABCG2 (BCRP). Cells were grown in High-glucose Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 100 U/mL penicillin and 100 µg/mL streptomycin (P/S) in a humidified 5% CO2 atmosphere at 37 °C.

Bidirectional transport assays

Corning Transwell polycarbonate membrane cell culture inserts (0.4 µm, 6.5 and 12 mm; Corning Inc.; Corning, USA) were used for bidirectional transport assays. Briefly, 72 h prior to the transwell assay, cells (2.5 × 105 cells/well or 2.0 × 105 cells/well for 12 mm or 6.5 mm inserts, respectively) were plated.

For substrate assays, cells were rinsed with PBS and vehicle (DMSO) or 10 µM inhibitor (loratadine, P-glycoprotein or elacridar, BCRP) in DMEM supplemented with 10% FBS was added to both the apical and basolateral chambers and incubated for 15 min at 37 °C in a humidified 5% CO2 atmosphere. Media in the donor chamber was then replaced with that containing 10 µM of an individual cannabinoid in the presence of either vehicle or inhibitor and returned to 37 °C. Aliquots (25 or 50 µL) were removed from the accepter chamber at 60, 120, 180 and 240 min.

For inhibitor assays, cells were rinsed with PBS and 10 µM of an individual cannabinoid in DMEM supplemented with 10% FBS was added to both the apical and basolateral chambers and incubated for 15 min at 37 °C in a humidified 5% CO2 atmosphere. Following the incubation, media in the donor chamber was replaced with 1 µM substrate (digoxin, P-glycoprotein or prazosin, BCRP) and its respective cannabinoid, returned to 37 °C and aliquots were removed from acceptor chamber as described above.

Concentrations of cannabinoids, digoxin or prazosin in the acceptor chamber were quantified using LC–MS/MS. Samples were spiked with diazepam as an internal standard and then either 0.1% formic acid in water (cannabinoids and digoxin) or 0.5 M sodium hydroxide (prazosin) was added for SLE with MTBE (cannabinoid and digoxin) or ethyl acetate (prazosin). Samples were evaporated to dryness with N2 and reconstituted in 1:1, v/v acetonitrile and 0.1% formic acid in water (cannabinoids), methanol and 0.1% formic acid in water (prazosin) or methanol and 0.1% formic acid in 10 mM ammonium acetate (digoxin) for analysis by LC–MS/MS. Cannabinoids were analyzed as described above. The mass spectrometer was operated in positive electrospray ionization mode with multiple reaction monitoring (digoxin: 798.35 > 651.45, 798.35 > 97.15; prazosin: 384.05 > 95.05, 384.05 > 247.1).

Lucifer yellow permeability assay

At the completion of the transwell assay, a Lucifer yellow permeability assay was conducted to confirm monolayer integrity. High Potassium Hank's Balanced Salt Solution (HBSS) replaced the media in both chambers. Lucifer yellow (250 µM) was added to the apical chamber and cells were incubated at 37 °C for 60 min. A CLARIOstar plate reader (BMG Labtech; Offenburg, GER) was used to take fluorescence readings over 0.5 ms (excitation 485 nm, emission 535 nm) from samples taken from the basolateral chamber. Baseline fluorescence as measured from samples containing HBSS only was subtracted and fluorescence readings were normalized to those of 250 µM Lucifer yellow. Monolayers were considered intact if Lucifer yellow permeability was less than 5%60.

Data analysis

Rates of substrate transport were determined by linear regression of concentration–time curves using GraphPad Prism. Apparent permeability (P) of substrate transport across MDCK cell monolayers were calculated for both the basolateral to apical (B > A) and apical to basolateral (A > B) directions as previously described using the following equation:

P=VC0×SA×ΔCΔt

V, volume of acceptor chamber (B > A: 0.5 mL and 0.2 mL and A > B: 1.5 mL and 0.6 mL for 12 mm and 6 mm inserts, respectively). C0, initial substrate concentration in the donor chamber (10 µM cannabinoids or 1 µM digoxin and prazosin). SA, monolayer growth surface area (1.12 cm2, 12 mm inserts; 0.33 cm2, 6.5 mm inserts)21. ΔC/Δt, slope calculated concentration–time curves. Transport efflux ratios (r) were calculated by dividing the apparent permeability calculated for the B > A direction by that calculated for the A > B direction. Transport ratios could not be calculated in instances when the slope for concentration–time curves in the A > B direction were not significantly different from zero.

Comparisons of curve fits for concentration–time curves between wildtype MDCK cells and MDCK cells expressing P-glycoprotein or BCRP were calculated using the Extra sum-of-squares F test to determine whether a cannabinoid was a substrate. Rates of substrate transport in the A > B direction were not different between wildtype and transporter-expressing cells for any cannabinoid, with the exception of CBG and Δ9-THC in cells expressing BCRP. Comparisons of curve fits in the B > A direction with p < 0.05 were considered significantly different and indicative of a substrate for the corresponding transporter. In order to determine whether cannabinoids were inhibitors, comparisons of curve fits for concentration–time curves between vehicle-treated and cannabinoid-treated cells were calculated using the Extra sum-of-squares F test. Comparisons of curve fits with p < 0.05 were considered significantly different and indicative the compound being an inhibitor.

Supplementary Information

Supplementary Table. (32KB, xlsx)

Acknowledgements

This study was supported by the Lambert Initiative for Cannabinoid Therapeutics, a philanthropically-funded centre for medicinal cannabis research at the University of Sydney and the Australian National Health and Medical Research Council (NHMRC). The authors gratefully acknowledge Barry and Joy Lambert for their continued support of the Lambert Initiative for Cannabinoid Therapeutics.

Author contributions

L.L.A. and J.C.A. contributed to the conception and design of the study. L.L.A., M.G.E., D.B. and T.A.G contributed to the acquisition and analysis of data. L.L.A. and J.C.A. drafted the manuscript and all authors provided feedback on the manuscript and approved its final form.

Data availability

All relevant data are presented within the manuscript and are available from the corresponding author on reasonable request.

Competing interests

Associate Professor Arnold has served as an expert witness in various medicolegal cases involving cannabis and cannabinoids and serves as a temporary advisor to the World Health Organization (WHO) on their review of cannabis and the cannabinoids. The remaining authors have no conflicts of interest.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-94212-6.

References s

  • 1.Banister SD, Arnold JC, Connor M, Glass M, McGregor IS. Dark classics in chemical neuroscience: Δ9-tetrahydrocannabinol. ACS Chem. Neurosci. 2019;10:2160–2175. doi: 10.1021/acschemneuro.8b00651. [DOI] [PubMed] [Google Scholar]
  • 2.Oultram JMJ, et al. Cannabis sativa: Interdisciplinary strategies and avenues for medical and commercial progression outside of CBD and THC. Biomedicines. 2021;9:234. doi: 10.3390/biomedicines9030234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Formato M, et al. (‒)-Cannabidiolic acid, a still overlooked bioactive compound: An introductory review and preliminary research. Molecules (Basel, Switzerland) 2020 doi: 10.3390/molecules25112638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Busardò FP, et al. Disposition of phytocannabinoids, their acidic precursors and their metabolites in biological matrices of healthy individuals treated with vaporized medical cannabis. Pharmaceuticals. 2021 doi: 10.3390/ph14010059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Pérez-Acevedo AP, et al. Disposition of cannabinoids and their metabolites in serum, oral fluid, sweat patch and urine from healthy individuals treated with pharmaceutical preparations of medical cannabis. Phyther. Res. 2020 doi: 10.1002/ptr.6931. [DOI] [PubMed] [Google Scholar]
  • 6.Baram L, et al. The heterogeneity and complexity of Cannabis extracts as antitumor agents. Oncotarget. 2019 doi: 10.18632/oncotarget.26983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Blasco-Benito S, et al. Appraising the “entourage effect”: Antitumor action of a pure cannabinoid versus a botanical drug preparation in preclinical models of breast cancer. Biochem. Pharmacol. 2018 doi: 10.1016/j.bcp.2018.06.025. [DOI] [PubMed] [Google Scholar]
  • 8.Anderson LL, Low IK, McGregor IS, Arnold JC. Interactions between cannabidiol and Δ9-tetrahydrocannabinol in modulating seizure susceptibility and survival in a mouse model of Dravet syndrome. Br. J. Pharmacol. 2020;177:4261–4274. doi: 10.1111/bph.15181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Casey SL, Atwal N, Vaughan CW. Cannabis constituent synergy in a mouse neuropathic pain model. Pain. 2017 doi: 10.1097/j.pain.0000000000001051. [DOI] [PubMed] [Google Scholar]
  • 10.Suraev A, et al. Composition and use of cannabis extracts for childhood epilepsy in the Australian community. Sci. Rep. 2018;8:10154. doi: 10.1038/s41598-018-28127-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.McGregor IS, et al. Access to cannabidiol without a prescription: A cross-country comparison and analysis. Int. J. Drug Policy. 2020;85:102935. doi: 10.1016/j.drugpo.2020.102935. [DOI] [PubMed] [Google Scholar]
  • 12.DeLong GT, Wolf CE, Poklis A, Lichtman AH. Pharmacological evaluation of the natural constituent of Cannabis sativa, cannabichromene and its modulation by Δ9-tetrahydrocannabinol. Drug Alcohol Depend. 2010;112:126–133. doi: 10.1016/j.drugalcdep.2010.05.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hložek T, et al. Pharmacokinetic and behavioural profile of THC, CBD, and THC + CBD combination after pulmonary, oral, and subcutaneous administration in rats and confirmation of conversion in vivo of CBD to THC. Eur. Neuropsychopharmacol. 2017 doi: 10.1016/j.euroneuro.2017.10.037. [DOI] [PubMed] [Google Scholar]
  • 14.Lintzeris N, et al. Medical cannabis use in the Australian community following introduction of legal access: The 2018–2019 Online Cross-Sectional Cannabis as Medicine Survey (CAMS-18) Harm Reduct. J. 2020;17:37. doi: 10.1186/s12954-020-00377-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Spiro AS, Wong A, Boucher AA, Arnold JC. Enhanced brain disposition and effects of Δ9-tetrahydrocannabinol in P-glycoprotein and breast cancer resistance protein knockout mice. PLoS ONE. 2012;7:e35937. doi: 10.1371/journal.pone.0035937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Holland ML, et al. The effects of cannabinoids on P-glycoprotein transport and expression in multidrug resistant cells. Biochem. Pharmacol. 2006;71:1146–1154. doi: 10.1016/j.bcp.2005.12.033. [DOI] [PubMed] [Google Scholar]
  • 17.Holland ML, Lau DTT, Allen JD, Arnold JC. The multidrug transporter ABCG2 (BCRP) is inhibited by plant-derived cannabinoids. Br. J. Pharmacol. 2009;152:815–824. doi: 10.1038/sj.bjp.0707467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Feinshtein V, et al. Cannabidiol enhances xenobiotic permeability through the human placental barrier by direct inhibition of breast cancer resistance protein: An ex vivo study. Am. J. Obstet. Gynecol. 2013 doi: 10.1016/j.ajog.2013.08.005. [DOI] [PubMed] [Google Scholar]
  • 19.Anderson LL, et al. In vitro screening of three commercial cannabis-based products on ATP-binding cassette and solute-carrier transporter function. Cannabis Cannabinoid Res. 2020 doi: 10.1089/can.2020.0053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Doan KMM, et al. Passive permeability and p-glycoprotein-mediated efflux differentiate central nervous system (CNS) and non-CNS marketed drugs. J. Pharmacol. Exp. Ther. 2002;303:1029–1037. doi: 10.1124/jpet.102.039255. [DOI] [PubMed] [Google Scholar]
  • 21.Giri N, et al. Substrate-dependent breast cancer resistance protein (Bcrp1/Abcg2)-mediated interactions: Consideration of multiple binding sites in in vitro assay design. Drug Metab. Dispos. 2009;37:560–570. doi: 10.1124/dmd.108.022046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Rock EM, Limebeer CL, Parker LA. Effect of cannabidiolic acid and ∆9-tetrahydrocannabinol on carrageenan-induced hyperalgesia and edema in a rodent model of inflammatory pain. Psychopharmacology. 2018;235:3259–3271. doi: 10.1007/s00213-018-5034-1. [DOI] [PubMed] [Google Scholar]
  • 23.Bolognini D, et al. Cannabidiolic acid prevents vomiting in Suncus murinus and nausea-induced behaviour in rats by enhancing 5-HT 1A receptor activation. Br. J. Pharmacol. 2013;168:1456–1470. doi: 10.1111/bph.12043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Anderson LL, Low IK, Banister SD, McGregor IS, Arnold JC. Pharmacokinetics of phytocannabinoid acids and anticonvulsant effect of cannabidiolic acid in a mouse model of Dravet syndrome. J. Nat. Prod. 2019;82:3047–3055. doi: 10.1021/acs.jnatprod.9b00600. [DOI] [PubMed] [Google Scholar]
  • 25.Rock EM, et al. Effect of prior foot shock stress and Δ9-tetrahydrocannabinol, cannabidiolic acid, and cannabidiol on anxiety-like responding in the light-dark emergence test in rats. Psychopharmacology. 2017;234:2207–2217. doi: 10.1007/s00213-017-4626-5. [DOI] [PubMed] [Google Scholar]
  • 26.Pamplona FA, da Silva LR, Coan AC. Potential clinical benefits of CBD-rich cannabis extracts over purified CBD in treatment-resistant epilepsy: Observational data meta-analysis. Front. Neurol. 2018;9:759. doi: 10.3389/fneur.2018.00759. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Laux LC, et al. Long-term safety and efficacy of cannabidiol in children and adults with treatmentresistant Lennox-Gastaut syndrome or Dravet syndrome: Expanded access program results. Epilepsy Res. 2019;154:13–20. doi: 10.1016/j.eplepsyres.2019.03.015. [DOI] [PubMed] [Google Scholar]
  • 28.Brzozowska N, et al. ABC transporters P-gp and Bcrp do not limit the brain uptake of the novel antipsychotic and anticonvulsant drug cannabidiol in mice. PeerJ. 2016;4:e2081. doi: 10.7717/peerj.2081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Al-Ali AAA, Steffansen B, Holm R, Nielsen CU. Nonionic surfactants increase digoxin absorption in Caco-2 and MDCKII MDR1 cells: Impact on P-glycoprotein inhibition, barrier function, and repeated cellular exposure. Int. J. Pharm. 2018;551:270–280. doi: 10.1016/j.ijpharm.2018.09.039. [DOI] [PubMed] [Google Scholar]
  • 30.Muenster U, Grieshop B, Ickenroth K, Gnoth MJ. Characterization of substrates and inhibitors for the in vitro assessment of bcrp mediated drug-drug interactions. Pharm. Res. 2008 doi: 10.1007/s11095-008-9632-1. [DOI] [PubMed] [Google Scholar]
  • 31.Rautio J, et al. In vitro P-glycoprotein inhibition assays for assessment of clinical drug interaction potential of new drug candidates: A recommendation for probe substrates. Drug Metab. Dispos. 2006 doi: 10.1124/dmd.105.008615. [DOI] [PubMed] [Google Scholar]
  • 32.Jouan E, et al. Evaluation of P-glycoprotein inhibitory potential using a rhodamine 123 accumulation assay. Pharmaceutics. 2016 doi: 10.3390/pharmaceutics8020012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Zolnerciks JK, Booth-Genthe CL, Gupta A, Harris J, Unadkat JD. Substrate- and Species-dependent Inhibition of P-glycoprotein-mediated transport: Implications for predicting in vivo drug interactions. J. Pharm. Sci. 2011;100:3055–3061. doi: 10.1002/jps.22566. [DOI] [PubMed] [Google Scholar]
  • 34.Bocci G, et al. New insights in the in vitro characterisation and molecular modelling of the P-glycoprotein inhibitory promiscuity. Eur. J. Pharm. Sci. 2018 doi: 10.1016/j.ejps.2018.04.039. [DOI] [PubMed] [Google Scholar]
  • 35.Shapiro AB, Ling V. Positively cooperative sites for drug transport by P-glycoprotein with distinct drug specificities. Eur. J. Biochem. 1997 doi: 10.1111/j.1432-1033.1997.00130.x. [DOI] [PubMed] [Google Scholar]
  • 36.Li L, et al. Inhibition of P-glycoprotein mediated efflux in Caco-2 cells by phytic acid. J. Agric. Food Chem. 2018 doi: 10.1021/acs.jafc.7b04307. [DOI] [PubMed] [Google Scholar]
  • 37.Maki N, Hafkemeyer P, Dey S. Allosteric modulation of human P-glycoprotein. Inhibition of transport by preventing substrate translocation and dissociation. J. Biol. Chem. 2003 doi: 10.1074/jbc.M210413200. [DOI] [PubMed] [Google Scholar]
  • 38.Martin C, Berridge G, Higgins CF, Callaghan R. The multi-drug resistance reversal agent SR33557 and modulation of vinca alkaloid binding to P-glycoprotein by an allosteric interaction. Br. J. Pharmacol. 1997 doi: 10.1038/sj.bjp.0701429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Martin C, et al. The molecular interaction of the high affinity reversal agent XR9576 with P-glycoprotein. Br. J. Pharmacol. 1999 doi: 10.1038/sj.bjp.0702807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Fromm MF, Kim RB, Stein CM, Wilkinson GR, Roden DM. Inhibition of P-glycoprotein–mediated drug transport. Circulation. 1999;99:552–557. doi: 10.1161/01.CIR.99.4.552. [DOI] [PubMed] [Google Scholar]
  • 41.Koren G, Woodland C, Ito S. Toxic digoxin-drug interactions: The major role of renal p-glycoprotein. Vet. Hum. Toxicol. 1998;40:45–46. [PubMed] [Google Scholar]
  • 42.Patocka J, Nepovimova E, Wu W, Kuca K. Digoxin: Pharmacology and toxicology—A review. Environ. Toxicol. Pharmacol. 2020 doi: 10.1016/j.etap.2020.103400. [DOI] [PubMed] [Google Scholar]
  • 43.Giacomini KM, Huang S-M, Tweedie DJ. Membrane transporters in drug development. The International Transporter Consortium. Nat. Rev. Drug Discov. 2010;9:215. doi: 10.1038/nrd3028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Saneja A, Khare V, Alam N, Dubey RD, Gupta PN. Advances in P-glycoprotein-based approaches for delivering anticancer drugs: Pharmacokinetic perspective and clinical relevance. Expert Opin. Drug Deliv. 2014 doi: 10.1517/17425247.2014.865014. [DOI] [PubMed] [Google Scholar]
  • 45.Smdk GS, Page-Sharp M, Crowe A. The interactions of P-glycoprotein with antimalarial drugs, including substrate affinity, inhibition and regulation. PLoS ONE. 2016 doi: 10.1371/journal.pone.0152677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Breedveld P, Beijnen JH, Schellens JHM. Use of P-glycoprotein and BCRP inhibitors to improve oral bioavailability and CNS penetration of anticancer drugs. Trends Pharmacol. Sci. 2006 doi: 10.1016/j.tips.2005.11.009. [DOI] [PubMed] [Google Scholar]
  • 47.Tomaru A, et al. Effects of Cremophor EL on the absorption of orally administered saquinavir and fexofenadine in healthy subjects. Drug Metab. Pharmacokinet. 2015 doi: 10.1016/j.dmpk.2015.01.002. [DOI] [PubMed] [Google Scholar]
  • 48.Wandel C, Kim RB, Stein CM. ‘Inactive’ excipients such as Cremophor can affect in vivo drug disposition. Clin. Pharmacol. Ther. 2003 doi: 10.1016/S0009-9236(03)00010-9. [DOI] [PubMed] [Google Scholar]
  • 49.Bogman K, et al. P-glycoprotein and surfactants: Effect on intestinal talinolol absorption. Clin. Pharmacol. Ther. 2005 doi: 10.1016/j.clpt.2004.09.001. [DOI] [PubMed] [Google Scholar]
  • 50.Boman G, Lundgren P, Stjernström G. Mechanism of the inhibitory effect of PAS granules on the absorption of rifampicin: Adsorption of rifampicin by an excipient, bentonite. Eur. J. Clin. Pharmacol. 1975 doi: 10.1007/BF00562653. [DOI] [PubMed] [Google Scholar]
  • 51.Kumar A, Jaitak V. Natural products as multidrug resistance modulators in cancer. Eur. J. Med. Chem. 2019 doi: 10.1016/j.ejmech.2019.05.027. [DOI] [PubMed] [Google Scholar]
  • 52.Yoshida N, Takagi A, Kitazawa H, Kawakami J, Adachi I. Inhibition of P-glycoprotein-mediated transport by extracts of and monoterpenoids contained in Zanthoxyli Fructus. Toxicol. Appl. Pharmacol. 2005 doi: 10.1016/j.taap.2005.04.001. [DOI] [PubMed] [Google Scholar]
  • 53.Zendulka O, et al. Cannabinoids and cytochrome P450 interactions. Curr. Drug Metab. 2016 doi: 10.2174/1389200217666151210142051. [DOI] [PubMed] [Google Scholar]
  • 54.Doohan, P. T., Oldfield, L. D., Arnold, J. C. & Anderson, L. L. Cannabinoid interactions with cytochrome P450 drug metabolism: A full-spectrum characterization. AAPS J. 23, 91 in press . 10.1208/s12248-021-00616-7 (2021) [DOI] [PubMed]
  • 55.Wakshlag JJ, et al. Pharmacokinetics of cannabidiol, cannabidiolic acid, Δ9-tetrahydrocannabinol, tetrahydrocannabinolic acid and related metabolites in canine serum after dosing with three oral forms of hemp extract. Front. Vet. Sci. 2020 doi: 10.3389/fvets.2020.00505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Pellesi L, et al. Pharmacokinetics and tolerability of oral cannabis preparations in patients with medication overuse headache (MOH): A pilot study. Eur. J. Clin. Pharmacol. 2018 doi: 10.1007/s00228-018-2516-3. [DOI] [PubMed] [Google Scholar]
  • 57.Rock EM, Limebeer CL, Parker LA. Effect of combined doses of Δ9-tetrahydrocannabinol (THC) and cannabidiolic acid (CBDA) on acute and anticipatory nausea using rat (Sprague- Dawley) models of conditioned gaping. Psychopharmacology. 2015 doi: 10.1007/s00213-015-4080-1. [DOI] [PubMed] [Google Scholar]
  • 58.Anderson, L. L. et al. Cannabichromene, related phytocannabinoids, and 5-fluoro-cannabichromene have anticonvulsant properties in a mouse model of Dravet syndrome. ACS Chem. Neurosci. in press (2020). [DOI] [PubMed]
  • 59.Hawkins NA, et al. Screening of conventional anticonvulsants in a genetic mouse model of epilepsy. Ann. Clin. Transl. Neurol. 2017;4:326–339. doi: 10.1002/acn3.413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Ivanova L, Fæste CK, Solhaug A. Role of P-glycoprotein in deoxynivalenol-mediated in vitro toxicity. Toxicol. Lett. 2018 doi: 10.1016/j.toxlet.2017.11.021. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Table. (32KB, xlsx)

Data Availability Statement

All relevant data are presented within the manuscript and are available from the corresponding author on reasonable request.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES